25 Jobs für Ai Engineering in Schweiz

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.

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

Das Unternehmen unterstützt Kunden aus der Pharma bei der Entwicklung sicherheitsrelevanter Systeme und sucht dafür eine Fachperson, die regulatorische Anforderungen in praxistaugliche Prozesse überträgt. Gesucht wird ein*e Spezialist*in mit technischem Hintergrund und Erfahrung in Qualitätsmanagement oder Regulatory Affairs, idealerweise auch im Bereich KI und Python-gestützter Automatisierung. Geboten wird ein kollegiales Umfeld mit moderner Infrastruktur, flexiblen Arbeitsmodellen und spannenden Entwicklungsmöglichkeiten.

Aufgaben
- Interpretation regulatorischer Anforderungen in technische Umsetzungskonzepte
- Entwicklung automatisierter Lösungen zur Unterstützung von Compliance-Prozessen
- Sicherstellung der Normkonformität von KI-basierten Medizinprodukten
- Mitwirkung bei Konformitätsbewertung medizinischer Geräte nach relevanten Standards
- Kontinuierlicher Ausbau der Fachkenntnisse im Bereich KI-Regularien
Profil
- Fundiertes Wissen zu europäischen und US-Regulierungen für Medizinprodukte
- Erfahrung im Umgang mit Python zur Prozessautomatisierung
- Technischer Hintergrund ergänzt durch Weiterbildung in Regulatory Affairs
- Verständnis regulatorischer Anforderungen für KI-basierte Systeme erforderlich
- Schnelle Auffassungsgabe und teamorientierte Arbeitsweise von Vorteil
Wissenswertes
- Spannende Projekte im Bereich Medizintechnik und künstliche Intelligenz erwarten Mitarbeitende
- Flexible Arbeitszeiten und Home-Office schaffen optimale Rahmenbedingungen
- Vielfältige Weiterbildungsmöglichkeiten fördern die individuelle fachliche Weiterentwicklung kontinuierlich
- Die moderne Infrastruktur umfasst ergonomische Arbeitsplätze sowie technische Spitzenlösungen
- Interdisziplinäre Teams ermöglichen aktiven Wissensaustausch und kollegiale Mitgestaltung

Bewerbungsprozess:
Wenn Sie die Kriterien für diese spannende Jobmöglichkeit erfüllen, bewerben Sie sich noch heute direkt bei oder senden Sie alle Ihre Unterlagen an Raphael Georgis (), der sich mit Ihnen in Verbindung setzen wird. Wir bitten die Kandidaten, ein Motivationsschreiben einzureichen, das ihre Eignung für diese Rolle darlegt, zusammen mit Kopien ihrer Arbeits- und Bildungszertifikate.

**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.

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.

As a Member of Technical Staff - Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products that are served to millions of users through Copilot every day. Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We're looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building world-class, trustworthy AI experiences and products in a fast-paced environment.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Responsibilities**
+ Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.
+ Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
+ Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
+ Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters
+ Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
+ Embody our culture and values.
**Qualifications**
**Qualifications**
**Required Qualifications**
+ Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR equivalent experience.
+ Experience prompting and working with large language models.
+ Experience writing production-quality Python code.
**Preferred Qualifications**
+ Demonstrated interest in Responsible AI.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .