Senior MLOps Engineer @ Digital Hub Warsaw at Bayer (práce v Polsku)

Senior MLOps Engineer @ Digital Hub Warsaw at Bayer

Polsko

• 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, 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.

Are you ready to make a significant impact in the world of data science? We are seeking a talented Senior MLOps Engineer to become a vital part of our dynamic Data Science Team at Bayer Consumer Health. In this role, you will play a pivotal role in implementing global, cutting-edge advanced analytics solutions across commercial, product supply, marketing, and R&D domains.

Our diverse, international team, spanning Poland and Germany, is dedicated to managing the entire product life cycle – from proof of concept to the seamless operation of fully industrialized products. We pride ourselves on delivering innovative solutions that leverage traditional Machine Learning, Generative AI, and Mathematical Optimization, all powered by a modern tech stack featuring Python, Azure and Databricks.

If you’re passionate about driving data-driven decision-making and eager to collaborate with a forward-thinking team, we want to hear from you!

,[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.] Requirements: Databricks, PhD, Degree, Data science, MLOps, DevOps, Machine learning, AI, Forecasting, Performance tuning, Python, SQL, Azure, Docker, MLflow, GitHub, Azure ML, Azure Data Factory, Bash, Analytical skills Additionally: Sport subscription, Private healthcare.

Kategorie

artificialIntelligence

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