18 Jobs für Ai Consultant in Schweiz

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to embark on an exhilarating journey as a Data & AI Senior Consultant. Join Kyndryl and become a driving force behind the transformative power of data & AI! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivalled business and technology consulting partner.
As a Data & AI Senior Consultant, your impact will be monumental. You will unleash the potential of AI technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.
Prepare to immerse yourself in the world of AI strategies and programs, crafting ingenious approaches to design, build, deploy, and govern complex AI models. Your technical expertise in a vast array of cutting-edge AI tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.
But that's not all - your role as a Data & AI Senior Consultant at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge best-in-class AI roadmaps that reshape their future. Educating our customers about the latest AI technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.
Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.
If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.
**Your Future at Kyndryl**
As a Data & AI Senior Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts - presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Skills and Experience:**
+ 7+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
+ Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
+ Organize and lead educational and ideation AI and Generative AI workshops for customers
+ Understand customer's needs and assess their AI maturity
+ Evaluate and recommend appropriate AI frameworks, tools and platforms
+ Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
+ Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the client's requirements
+ Lead integration and deployment of AI solutions into customers' existing infrastructure
+ Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
+ Work with cross-functional teams and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
+ In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversarial networks (GANs), variational autoencoders (VAEs), etc.)
+ Good knowledge of AI frameworks, tools, and platforms such as TensorFlow, PyTorch
+ Experience working with customers in different industries and understanding their specific challenges and requirements
+ Excellent spoken and written German and English language skills
**Preferred Skills and Experience:**
+ Bachelor's degree in computer science, Data Science, Business Analytics, or a related field
+ Skilled in planning, organization, analytics, and problem-solving
+ Excellent communication and interpersonal skills to work collaboratively with clients and team members
+ Comfortable working with statistics
+ Advanced skills in PowerPoint and Excel
+ Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI
+ Strong leadership skills and proactive and self-driven attitude
+ Advanced communication and storytelling skills
+ Highly adaptable and flexible through shifting priorities
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Internship Opportunity: Data Science (Advanced Analytics Team)**
**At Abbott, we believe in empowering people to live healthier, fuller lives.** With a presence in over 160 countries and a diverse team of 114,000 colleagues, we're committed to innovation in diagnostics, medical devices, nutrition, and pharmaceuticals.
We are looking for a **curious, collaborative, and impact-driven Data Science Intern** to join our **Advanced Analytics team** at EPD's global headquarters in Basel. This is a unique opportunity to contribute to meaningful healthcare solutions while growing your skills in a supportive and inclusive environment.
**Location:** Allschwil-Basel, Switzerland
**Duration:** 6 months
**Division:** Abbott Established Pharmaceutical Division (EPD)
**Why Join Us?**
+ **Purpose-Driven Work** : Your contributions will help shape data-driven strategies that improve healthcare outcomes globally.
+ **Inclusive Culture** : We value diverse perspectives and foster a culture where everyone-regardless of gender, background, or experience-can thrive.
+ **Mentorship & Growth** : You'll work closely with experienced data scientists and receive guidance to support your professional development.
**What You'll Work On**
+ Explore ways to reduce latency in LLMOps pipelines using techniques like model distillation, caching strategies, and prompt engineering.
+ Research and propose frameworks for automating repetitive tasks using multi-agent collaboration.
+ Collaborate with senior data scientists to understand business challenges across operations, finance, and supply chain.
+ Conduct data exploration, cleaning, and visualization to uncover insights.
+ Support model development workflows including feature engineering and validation.
+ Document findings to promote knowledge sharing and reproducibility.
+ Stay curious and continuously learn about emerging technologies in AI and data science.
**What We're Looking For**
+ Currently pursuing a Master's degree in a relevant field (e.g., applied mathematics, computer science, engineering, statistics).
+ Experience with full-cycle data science projects and applying methods to real-world problems.
+ Familiarity with tools like LangChain, Hugging Face, and vector databases.
+ Programming skills in Python or R; knowledge of object-oriented languages is a plus.
+ Understanding of software engineering principles and testing frameworks.
+ Exposure to cloud platforms like AWS/SageMaker is a bonus.
+ Strong communication skills and a collaborative mindset.
+ Fluency in English; other languages are a plus.
**We Encourage You to Apply If You:**
+ Are passionate about using data to solve meaningful problems.
+ Enjoy working in diverse teams and learning from others.
+ Want to grow your career in a supportive and innovative environment.
**Ready to Make an Impact?**
Send us your CV (PDF format) and show us how your curiosity and skills can help shape the future of healthcare. We look forward to hearing from you!
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email

Student - Data Science & Künstliche Intelligenz - DHBW - 3 years
Location:
Basel, BS, CH, 4030
Flexible Work Arrangement: Onsite
Job Category: IT
Career Level: Student / Intern
Requisition Id: 4124
Since 1967, Jet Aviation has been crafting flight in its smoothest form. From one hangar in Basel, Switzerland, to over 4,500 employees, and some 50 locations worldwide. Aircraft Management, Aircraft Sales, Charter, Completions, Government Services, FBO, Fixed and Rotary Wing Maintenance, and Staffing. Behind every seamless Jet Aviation experience, is a team of dedicated professionals perfecting the art of flight. The artisans of aviation. The craft that brings our customers' journey to life. In the hangar, on the ground, and behind the scenes. Enabling global flight, with passion.
**Position Summary**
Join our team for a 3-year corporate study program with our partner university DHBW Lörrach, where you will gain hands-on experience in designing AI-driven tools and automating business processes within an international organization. You will work closely with experts and cross-functional teams to support system integration, data management, and ongoing process optimization. This program offers a dynamic learning environment, valuable mentorship, and the opportunity to grow within a motivated, multi-cultural team committed to innovation and excellence.
Start: October 1, 2025 - alternting in a 3-month rhythm between Jet Aviation at Basel Airport and DHBW Lörrach.
**Your Role**
+ Design and prototype AI-driven tools
+ Collaborate with experts to integrate AI features into products or services
+ Support the designing & continuous improvement and optimization of business processes
+ Automate processes across systems with automation tools
+ Support the team with daily ongoing systems support
+ Assist in the organization and management of the team's data resources to have it immediately accessible for analysis
+ Assist in cross-functional collaboration and stakeholder management across all operation teams
**Your Profile**
+ Interested in learning new processes and systems
+ Solution oriented, proactive, and results-driven with a strong sense of personal accountability
+ Strong communication skills, with fluency in English and German, study courses and exams are in German
+ Excellent interpersonal abilities, capable of engaging with diverse stakeholders
**What we offer you**
+ Mentorship - Work alongside experienced professionals who will guide and support your development
+ Valuable work experience in an international company
+ Be part of a collaborative, multi-cultural team that values innovation and excellence
+ An exciting and challenging dual study in a dynamic environment
+ A motivated and cheerful team that looks forward to working with you
+ Exposure to various departments and a comprehensive understanding of their roles and responsibilities
If you are interested in a multicultural, challenging and innovative working environment and your profile matches our requirements, we are looking forward to receiving your online application in English.

Solutions Engineer Service Provider & AI
Apply ( Location:Stockholm, Sweden
+ Alternate LocationAlternate Location - Denmark & Norway
+ Area of InterestEngineer - Pre Sales and Product Management
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence
+ Job Id1442312
**Meet the Team**
After our recent financial success and surpassing key targets ahead of schedule, our momentum in AI continues to accelerate. These achievements have empowered us to further invest in our AI Sales Team. To meet the growing demand in the service provider (Neoclouds) market, we are now looking for experienced Presales Solutions Engineers to join us. As part of a dynamic, like-minded team of engineers passionate about AI, you will play a key role in shaping the future, today.
**Your Impact**
As a Solutions Engineer, you will collaborate closely with the Cisco Sales team to drive our go-to-market efforts and support technical sales activities. Leveraging your deep expertise in AI and the SP/Neocloud space, you will showcase the competitive advantages of Cisco's portfolio to prospective customers and partners, differentiating us from industry competitors.
**Key Responsibilities**
+ Understand customer and partner needs to effectively present Cisco's Secure AI solutions.
+ Lead product demonstrations, address technical queries, contribute to proposals, analyse client requirements, and develop tailored technical solutions in a presales environment.
+ Drive strategic sales initiatives, including customer outreach and channel training, to expand business in targeted regions.
+ Maintain strong interpersonal, presentation, and troubleshooting skills, inspiring confidence and passion in your audience.
**Minimum Qualifications:**
+ 8+ years of technical presales experience (preferably selling GPU-backed Compute, Storage, and/or Secure DC Networking solutions). Must include track record of selling into the SP or Neocloud space.
+ Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
+ Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks.
+ Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).
+ Excellent presentation skills - ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.
**Preferred Qualifications:**
+ Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field or equivalent experience. Advanced degree in Data Science is a plus.
+ Good understanding of the Neocloud market dynamics, key players, and emerging trends within the neo cloud provider ecosystem, e.g their cost structures and differentiation from hyperscalers.
+ Understanding CI/CD pipelines, automation, and Infrastructure as Code (IaC)
+ Ability to design and optimize scalable and secure cloud solutions, including knowledge of virtual machines, serverless computing, and various cloud services.
**#WeAreCisco**
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
People Leader
**All Job Posting Locations:**
US026 PA Spring House - 1400 McKean Rd, US159 NJ Titusville - 1125 Trenton-Harbourton Rd, US337 MA Cambridge - 301 Binney St, Zug, Switzerland
**Job Description:**
Job Description
Johnson & Johnson Innovative Medicine is recruiting for a **Senior Director, Head of Data Strategy & Products - Global Development** . Is this person you? If it is, you will report to the VP, Data Strategy & Platforms. The primary location for this position is Zug, Switzerland. Consideration will be given to Cambridge, MA; Spring House, PA; New Brunswick, Nj or Titusville, NJ. This position will require up to 25% travel.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at Summary:**
The "Head of Data Strategy & Products - Global Development" leads the strategy, design, and delivery of user-centric, reusable data products that support clinical execution, operational insights, and regulatory readiness. This role establishes the productization of high-value data assets across Global Development, focusing on end-to-end data flow from protocol development to submission and including external data sources (e.g. performance data, competitor information etc.) and RWE. Data Strategy & Products - GD works in close collaboration with Global Functions Team, enabling GF team to deliver Data Science and AI/ML solutions designed for Global Development.
A core responsibility includes developing a Development Ontology as the semantic backbone of Global Development data, aligned with the broader strategy of integration of R&D data landscape. The ontology serves as a foundational layer for data product standardization, reuse, and interoperability. The Head of Data Strategy & Products - GD works in close collaboration with centralized Data Platform & Governance, Knowledge Management functions. Seamless integration between data product structures and graph-based reasoning capabilities is jointly ensured.
Beyond the close collaboration with the Data Platform & Governance, Knowledge Management, Master Data Management, the following liaisons are critical for the success to establish a Data Products function for Global Development:
+ In partnership with Global Functions team, engages Clinical Development, Operations, Data Management, Safety, Medical Writing, QA, and other stakeholders.
+ Interfaces with the Regulatory Data Product Owner to define shared ownership models and product boundaries.
+ Collaborates with the broader Data Science and Digital Health team
+ Ensures alignment with the master data management team on shared entities e.g., clinical trial sites, studies etc. and controlled vocabulary e.g., indications, therapeutic areas etc.
The Head of Data Products - Global Development plays a central role in driving awareness, engagement, and adoption of data products across clinical development, operations, and adjacent functions.
By fostering a culture of **data literacy, trust, and self-service** , the Head of Data Products ensures that data assets are not only built but **embraced and sustained** as enterprise capabilities.
**Key Responsibilities:**
**Data Product Strategy & Execution**
+ Defines and maintains a roadmap for data products supporting Global Development, including:
+ Protocol and study design
+ Site and study startup data
+ Trial Master File (TMF) metadata
+ Operational KPIs and performance dashboards
+ Submission tracking and readiness indicators
+ Clinical trial disclosure and transparency datasets
+ Embeds product thinking, agile delivery, and FAIR data principles across the product lifecycle.
**Ontology & Semantic Modeling**
+ Leads the development and governance of a Development Ontology to enable semantic consistency across operational and regulatory data domains.
+ Aligns the ontology with internal metadata standards and external frameworks
**Collaboration with Knowledge Management**
+ Partners with the Knowledge Management team to ensure alignment between the Development Ontology and the enterprise knowledge graph.
+ Contributes to shared governance of vocabularies, taxonomies, and semantic layers that enable knowledge reasoning, search, and graph-based automation.
**Team & Operating Model Leadership**
+ Builds and leads a cross-functional team.
+ Establishes agile delivery processes, value tracking metrics, and product lifecycle governance.
**Value Realization & Communication**
+ Defines and tracks KPIs.
+ Communicates product vision, roadmaps, and value realization to stakeholders.
**Qualifications:**
+ Education & Experience
+ Advanced degree in life sciences, informatics, natural sciences, data science, or related discipline.
+ 10+ years of experience in pharma/biotech in relevant roles.
+ Strong record of delivering business-critical data solutions.
+ Skills & Expertise
+ Deep knowledge of the clinical trial lifecycle.
+ Experience in data product design and semantic modeling.
+ Familiarity with ontological frameworks, metadata governance, and industry standards.
+ Experience with knowledge graphs and semantic web technologies.
+ Familiarity with clinical trial systems, like CTMS, EDC, eTMF etc.
**Strategic Impact:**
Through this role, high-value data products are positioned as strategic enablers of insight, automation, and compliance across Global Development. By embedding semantic rigor and aligning with industry-wide data harmonization efforts, the Head of Data Products plays a central role in transforming how development data is structured, shared, and used across the organization and beyond.
**Other** :
+ Travel - Less than 25% to conferences and key internal meetings
Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Working with Johnson & Johnson can change everything. Including YOU.
The anticipated base pay range for this position is $173,000 to $299,000 for US locations listed.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.
+ Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
+ This position is eligible to participate in the Company's long-term incentive program.
+ Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
+ Employees are eligible for the following time off benefits:
+ Vacation - up to 120 hours per calendar year
+ Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year
+ Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
+ Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
At J&J, we care for you-the whole you-with employee benefits and resources designed to support your physical, mental, emotional and financial well-being.
#JNJDataScience #JRDDS #JNJIMRND-DS

**Summary:**
Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Leadership) - Machine Learning Responsibilities:
1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
2. Effectively communicate complex features and systems in detail
3. Understand industry & company-wide trends to help assess & develop new technologies
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
6. Suggest, collect and synthesize requirements and create an effective feature roadmap
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
**Minimum Qualifications:**
Minimum Qualifications:
9. Experience leading projects with industry-wide impact
10. Vast experience communicating and working across functions to drive solutions
11. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
12. Experience in driving large cross-functional/industry-wide engineering efforts
13. Significant experience in programming languages (Python, C++, Java, or R) with a technical background
14. Significant experience in mentoring/influencing senior engineers across organizations
15. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
**Preferred Qualifications:**
Preferred Qualifications:
16. B.S. Computer Science or related technical field
17. Experience in shipping products to millions of customers or have started a new line of product
18. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
**Industry:** Internet

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
+ 1 year of experience implementing core machine learning concepts.
**Preferred qualifications:**
+ 1 year of experience with data structures or algorithms.
+ Ability to think of new creative approaches to problems and help our users.
+ Ability to develop new, user-facing products.
+ Excellent team-work spirit skills.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
**Responsibilities:**
+ Conduct an in-depth analysis of model prompting/training and serving performance to find areas of efficiency while maintaining quality.
+ Collaborate with Research team partners in Google.
+ Develop web guide, a result-first AI experience for Search.
+ Focus on the quality aspects of the product this means prompting and distilling the latest Gemini models.
+ Write AI raters, running and analyzing evaluations, and launching improved versions of Web Guide.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
Collaborate with stakeholders to gather requirements and propose effective migration strategies.
Providing technical guidance and troubleshooting support throughout project delivery.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of cloud architecture and implementation.
Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.
Preferred Qualifications
AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)
AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred.
Experience with automation and scripting (e.g., Terraform, Python).
Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
Collaborate with stakeholders to gather requirements and propose effective migration strategies.
Providing technical guidance and troubleshooting support throughout project delivery.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
PhD, or Master's degree and 5+ years of applied research experience
3+ years of building machine learning models for business application experience
Experience with programming in Java, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with LLM pre-training, fine-tuning, and evaluations
Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general, e.g., DeepSpeed, Nemo-Megatron, PyTorch Lightning.
science backgrounds demonstrated by degrees in fields such as:
Mathematics
Statistics
Physics (various specializations)
Molecular Biology
Neuroscience
Experience manipulating large datasets using RDBMS or SQL-on-Hadoop technologies, and be familiar with machine learning or statistical libraries like SparkML, scikit-learn, caret, mlr, and MLlib
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.