21 Jobs für Ai Consultant in Schweiz

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

We are looking for an experienced consultant to boost our Data & AI business in the Swiss insurance market.

How you'll make impact

Presale & sales (50%) 

• Work closely with our sales team to develop and execute sales strategies (acquisition and repeat business) on topics related to data and AI in insurance 
• Help prepare and carry-out pre-sale meeting with C-Level prospects to identify and qualify needs and opportunities for collaboration 
• Act as an ambassador and thought leader for our discipline, by attending events and networking opportunities
• Develop consulting offerings matching Zühlke’s expertise to the evolving market context and needs 
• Present Zühlke’s offerings, assets and past references on data & AI topics to insurance prospects 
• Lead the design of proposals for projects covering both consulting and development of tailored data and AI solutions 
• Support pitches and negations to secure new contracts 

Client projects (50%) 

• Support the delivery of projects within interdisciplinary teams of business, IT and data/AI professional - both on consulting project and delivery-oriented projects. 
• Act as a hands-on project/product manager or product owner 
• Consult clients on the organizational aspects of successful Data & AI transformations (governance, education, processes, etc.) 
• Act as a trusted advisor for our clients on topics related to data and AI in insurance 
• Identify unmet needs and new opportunities for collaboration while working on client projects

What's important to us

• University degree from a leading institution in business or STEM
• Several years consulting and Data & AI-related work experience
• Strong consulting foundations: effective communication, project management, running workshops, selling consulting work, pragmatism, output-focused work, etc.
• Work or consulting experience in insurance, preferably across multiple verticals (i.e., life, health, property…)
• Expertise in at least one of the core insurance processes (underwriting, claims…)
• Good grasp of the industry’s challenges, key trends, particularly related to Data & AI
• Expertise in data and/or AI strategy, governance, and management with a deep understanding of how to effectively structure and oversee data & AI initiatives
• Expertise with Data & AI implementation projects, from idea to production
• Demonstrated ability to inspire, build and lead interdisciplinary teams
• Excellent written and verbal communication skills in German and English
• You are assertive, eloquent, proactive and enthusiastic
• You are highly customer-centric and can think and communicate across disciplines and levels of seniority
• You are results-oriented and able to win over stakeholders and decision-makers.

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
• Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
• Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future. To dive deeper into local benefits of working in Zühlke follow the link

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

As a Zühlke Data & AI Consultant for Banking, your #1 priority is to ensure our Data & AI projects generate the expected impact – from offering development to pre-sales and sales to delivery and ongoing relationship management as trusted advisor.

Important: To ensure a smooth review process, please submit all application documents (CV, cover letter) in English only.

How you’ll make impact

• You drive our Data & AI business in banking by developing tailored offerings with our Banking sales colleagues, driving project proposals, delivering on projects with interdisciplinary Zühlke colleagues, and becoming a trusted advisor for our clients

• As a versatile, impact-focused, tech-savvy generalist, you enable technical implementations (e.g., AI applications, data platforms) as a hands-on project/product manager or product owner, and consult clients on the organizational aspects of successful Data & AI transformations (governance, education, processes, etc.)

• You are active both internally and externally as an ambassador and thought leader for our discipline, especially for the banking industry

• You support team & talent development in banking-focused Data & AI consulting

What's important to us

• University degree from a leading institution in business or STEM

• 5+ years hybrid consulting and Data & AI-related work experience

• Strong consulting foundations: effective communication, project management, running workshops, selling consulting work, pragmatism, output-focused work, etc.

• Work or consulting experience in banking sector, deep knowledge of its value chain, challenges, key trends, particularly related to Data & AI

• Expertise in data and/or AI strategy, governance, and management with a deep understanding of how to effectively structure and oversee data & AI initiatives

• Expertise with Data & AI implementation projects, from idea to production

• Demonstrated ability to inspire, build and lead interdisciplinary teams

• Excellent written and verbal communication skills in German and English

• You are assertive, eloquent, proactive and enthusiastic

• You are highly customer-centric and can think and communicate across disciplines and levels of seniority

• You are results-oriented and able to win over stakeholders and decision-makers.

What we offer

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home

• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year

• Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.

• Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future. To dive deeper into local benefits of working in Zühlke follow the link

How to Apply

Please note: Applications must be submitted in English only to be considered.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran 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

Als Teammitglied Gruppe Elektrohydraulisch Systeme legen Sie als Maschinen- oder Elektroingenieur/in Ihren Fokus auf Data Science und Programmierung. Ihr Wissen und Verständnis für Maschinen- und Systemtechnik bildet die Grundlage für die Anwendung von state-of-the-art Datenanalyseverfahren. Dabei loten Sie – teils auch spielerisch – die sich bietenden Möglichkeiten aus. Des Weiteren entwickeln Sie bestehende Auslegungsprogramme weiter oder entwerfen neue für neue Anwendungen.
Ihre Aufgaben: Betreuung und Weiterentwicklung der hauseigenen Konfigurationssoftware für Aufzüge, mit Fokus auf der Auslegung und Berechnung
Weiterentwicklung der Visualisierungs- und Analyseportale für Felddaten sowie für Messdaten aus der Funktions- und Produktionskontrolle
Aufbereitung der Grundlagen für Kundennutzen durch die Datenauswertung von digitalisierten Produkten und Entwicklung/Erweiterung des Produktpotenzials
Vernetzung mit Stammdaten in ERP und PLM-Systemen
Ihre Qualifikation: Studium als Maschinen- oder Elektrotechnikingenieur oder verwandt mit Abschluss Bachelor oder Master
Erfahrung und Freude an Maschinendatenanalyse
Kenntnisse in der objektorientierten Programmierung mit Python
Kenntnisse in MySQL und Datenbankanwendungen
Gute Deutsch- und Englischkenntnisse
Wir bieten Ihnen:

Eine anspruchsvolle und abwechslungsreiche Aufgabe in einem kleinen Team
Grosse Eigenständigkeit
Einen soliden Arbeitgeber mit eigener Entwicklung, Produktion und erfolgreichen Produkten
Attraktive Anstellungsbedingungen

Fühlen Sie sich angesprochen?

Dann richten Sie Ihre Bewerbung bitte per Mail an Frau Gabriele Blaskura:

Adresse:
Bucher Hydraulics AG
Personalabteilung
Industriestrasse 15
6345 Neuheim
Tel. Oder bewerben Sie sich am besten gleich 

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
The Large Molecule Drug Discovery group in Basel within Prescient Design/AI4DD, a division devoted to developing structural and machine learning-based methods for protein design within the new Computational Sciences Center of Excellence (CoE), seeks exceptional researchers who have a demonstrated research background in machine learning and protein structural biology and design, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
We are looking for talented Senior ML Scientists to join Prescient Design/AI4DD. The successful candidate will contribute to our antibody design efforts, partner with biologists, technologists and drug discoverers to develop new machine learning methods for de novo protein design with special application to protein therapeutics.
**The Opportunity**
+ Develop cutting-edge machine learning methods for analyzing biological data, focusing on structural biology and chemical molecules.
+ Deliver deep learning-based software solutions that accelerate drug discovery, design, and therapeutic development.
+ Collaborate with talented AI/ML scientists and form close working relationships with teams across Roche's global research and early development organizations.
+ Publish high-quality, impactful scientific articles and present your findings at major conferences and internal meetings.
+ Write structured, tested, and maintainable code, participating in code reviews to ensure quality and distribute knowledge.
+ Actively shape and contribute to our collaborative and innovative team culture.
**Who You Are**
+ You hold a PhD in a quantitative field (such as Computer Science, Physics, Mathematics, or Statistics) and have a strong record of high-impact scientific publications.
+ You possess 3+ years of hands-on experience designing and training machine learning models on large and complex datasets, ideally with biochemical data.
+ You have demonstrated experience with modern machine learning techniques, including neural networks on graphs (e.g., graph convolution) or sequence models (e.g., self-attention).
+ You are highly fluent in Python and proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).
+ You are an excellent communicator and collaborator, fluent in both written and spoken English, with a passion for driving projects in a cross-functional environment.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**

**Summary:**
Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will manage complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
**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. Lead long term technical strategy and roadmap for large cross-company efforts
7. Suggest, collect and synthesize requirements and create an effective feature roadmap
8. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
**Minimum Qualifications:**
Minimum Qualifications:
9. Programming experience in a relevant language
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
12. Experience driving large cross-functional/industry-wide engineering efforts
13. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
14. Experience communicating and working across functions to drive solutions
15. Experience mentoring/influencing experienced engineers across organizations
**Preferred Qualifications:**
Preferred Qualifications:
16. B.S. Computer Science or related technical field
17. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
18. Experience in shipping products to millions of customers or have started a new line of product
**Industry:** Internet

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
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 ( .