Machine Learning Engineer (mlops & Ai Infrastructure)
Roche
Hyderabad, India
Python pyspark sql proficiency
Aws sagemaker glue lambda experience
Docker kubernetes containerization
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its global data ecosystem
Job Summary
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its global data ecosystem.
The role requires close collaboration with data scientists and business stakeholders to operationalize ML models and ensure smooth transitions from experimentation to production.
Candidates will champion engineering excellence by enforcing best practices in CI/CD, automated testing, and robust monitoring for data and model drift.
Matching Summary
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its global data ecosystem.
Skills & Requirements
Must-have
Python PySpark SQL proficiency
AWS SageMaker Glue Lambda experience
Docker Kubernetes containerization
CI/CD Git version control workflows
MLflow model registry management
Scikit-learn TensorFlow PyTorch frameworks
Nice-to-have
Generative AI LLM integration experience
Pharmaceutical dataset familiarity
Kubeflow Airflow orchestration tools
GCP or Azure ML environment knowledge
Data governance and ethical AI practices
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
4+ years of professional experience in MLOps or Data Engineering
Proven track record of deploying ML systems at scale in production