Data Solution Specialist - Sr. Data & MLOps Engineer

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Solution Specialist - Sr. Data & MLOps Engineer 

POSITION PURPOSE:

We are seeking Senior Data Engineer / MLOps Engineer with experience in AWS and/or Azure cloud platforms. This role involves designing and developing data pipelines, ETL processes, and deploying/managing machine learning models.

YOUR TASKS AND RESPONSIBILITIES:

Design, develop and maintain data pipelines, ETL processes, and deploying/managing machine learning models.

• Design, build, and maintain scalable data pipelines and ETL processes using AWS and/or Azure cloud services.
• Utilize Python and SQL/PLSQL programming languages for data cleaning, transformation, and deployment.
• Implement standards for data ingestion, storage, and processing to support analytics and machine learning workflows.
• Develop and optimize data integration solutions for on-premise systems, ensuring data quality, reliability, and performance.
• Implement and manage CI/CD pipelines for automated testing, deployment, and monitoring of machine learning models.
• Collaborate with data scientists, machine learning engineers, and software developers to operationalize machine learning models.
• Design and maintain infrastructure for automated deployment and scaling.
• Ensure compliance with security, privacy, and data governance requirements.

WHO YOU ARE:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience with at least 8 years of combined experience as a Data Engineer and MLOps Engineer or similar roles.
• Strong programming skills in Python, SQL/PLSQL, and scripting languages for data transformation and automation.
• Proficiency with AWS and/or Azure cloud platforms, including services such as EC2, S3, Lambda, SageMaker, Azure ML, etc.
• Experience designing and optimizing data pipelines, ETL processes, and data warehouses.
• Hands-on experience with CI/CD pipelines, version control systems (e.g., git), and code repositories.
• Knowledge of containerization using Docker, Kubernetes and orchestration tools.
• Familiarity with big data technologies like Hadoop, Spark and streaming platforms like Kafka, Kinesis is a plus.
• Familiarity with machine learning frameworks like TensorFlow, PySpark/PyTorch and data science workflows is a plus.

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext. 
Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.