Senior ML/AI Engineer

What we're looking for

• 5+ years of Data engineering experience

• 5+ years of experience in production-ready Python code development

• 3+ years of experience in production-ready ML-related code development

• 1+ years of experience with GenAI

• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI

About the role

The person we are looking for will become part of the Data Science and AI Competency Center, working in the AI Engineering team.Tasks:

• Working with Data Science teams to implement Machine Learning models into production.

• Designing and delivering GenAI solutions.

• Practical and innovative implementations of LLM/ML/AI automation for scale and efficiency.

• Designing, delivering, and managing industrialized processing pipelines.

• Defining and implementing best practices in ML models life cycle and ML operations/LLM operations.

• Implementing AI/MLOps/LLMOps frameworks and supporting Data Science teams in best practices.

• Gathering and applying knowledge on modern techniques, tools, and frameworks in the area of ML Architecture and Operations.

• Gathering technical requirements and estimating planned work.

• Presenting solutions, concepts, and results to internal and external clients.

• Creating technical documentation.

Compensation & benefits

• Stable employment

• Office as an option model (remote or office work)

• Workation policy

• Great Place to Work® certified employer

• Flexibility regarding working hours and preferred form of contract

• Comprehensive online onboarding program with a Buddy from day 1

• Cooperation with top-tier engineers and experts

• Unlimited access to the Udemy learning platform from day 1

• Certificate training programs

• Upskilling support

• Capability development programs

• Competency Centers

• Knowledge sharing sessions

• Community webinars

• 110+ training opportunities yearly

• Internal promotions (76% of managers)

• Diverse, inclusive, and values-driven community

• Autonomy to choose the way you work

• Referral bonuses

• Activities to support well-being and health

• Opportunities to donate to charities and support the environment

• Modern office equipment