Senior MLOps Engineer

Senior MLOps Engineer 

For Digital Hub Warsaw, we are looking for:

Senior MLOps Engineer
 

Key Tasks & Responsibilities:

• Supports the operationalization of advanced analytics solutions.
• Ensures that solutions are deployed efficiently, run smoothly in production, are robust, and are monitored for performance and potential issues.
• Orchestrates solutions, develops pipelines, automates processes, and integrates models into production environments.
• Participates in solution architecture process for advanced analytics solutions.
• Scales advanced analytics solutions and optimizes them in cloud environments for processing time and cost.
• Enhances reproducibility and scalability of ML workflows, builds frameworks for efficient experimentation in model development.
• Optimizes the use of version control, and CI/CD.
• Works in close collaboration with Data Scientists within the MLOps framework managing the entire lifecycle of advanced analytics products with a focus on industrialization and operations.
• Participates early in data science product development by formulating and implementing requirements that facilitate deployment and operations.
• Contributes to complex projects employing machine learning, time series forecasting, mathematical optimization, generative AI, simulation, and NLP techniques, integrating multi-layered data models from internal and external sources.
• Shares knowledge on the best ML Engineering practices with the Data Science team.

Qualifications & Competencies (education, skills, experience):

• Master’s or PhD degree with 5+ years of experience in Data Science, MLOps, DevOps, Software Development or related fields.
• Proven educational background or applied experience in at least one of the following: Machine Learning, Statistics, Mathematics, Computer Science or other related quantitative/engineering disciplines.
• Proficiency and practical experience in at least one of the following: machine learning, generative AI, forecasting, and mathematical optimization.
• Proficiency in CI/CD, pipeline design, solution orchestration, model serving, and performance tuning.
• Proficiency in: Python, SQL, Databricks, Azure, Docker, MLFlow, Github, Azure ML, Azure Data Factory, Bash.
• Proven track record of developing advanced analytics products within a cloud environment.
• Problem-solving and analytical skills.
• Fluent in English, both written & spoken.

What do We offer:

• A flexible, hybrid work model
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance (“Wczasy pod gruszą”)
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Additional days off
• Budget for Home Office Setup & Maintenance
• Dedicated working Zone with state-of-the art Lab available only for Cyber Security Team
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection

WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158

YOUR APPLICATION

If your background and personal experience fit this profile, please send us your complete application at www.career.bayer.cn If you have any recommendations, please kindly send mail to cnreferral@bayer.com
 

Location:                   

Poland : Mazowieckie : Warszawa 

Division:

CH

Reference Code:

830542