Machine Learning Engineer (mlops & Ai Infrastructure)
Roche UK
Hyderabad, India
Machine learning engineering experience
Aws cloud services proficiency
Python pyspark sql programming
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its Global Analytics and Technology Center of Excellence
Job Summary
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its Global Analytics and Technology Center of Excellence.
The role requires collaborating with data scientists and stakeholders to operationalize ML models and ensure smooth transitions from experimentation to production healthcare applications.
Candidates must demonstrate ownership of end-to-end MLOps initiatives while enforcing engineering best practices in CI/CD, version control, and automated testing.
Matching Summary
Roche is seeking a Machine Learning Engineer to design and maintain scalable production-grade ML pipelines within its Global Analytics and Technology Center of Excellence.
Skills & Requirements
Must-have
Machine Learning Engineering experience
AWS cloud services proficiency
Python PySpark SQL programming
Docker Kubernetes containerization
CI/CD pipeline implementation
Model deployment and monitoring
Nice-to-have
Generative AI and LLM integration
Pharmaceutical dataset knowledge
Kubeflow Airflow orchestration tools
GCP or Azure ML environment familiarity
Strong analytical problem-solving skills
Ethical AI standards adherence
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
4+ years of professional experience in MLOps or Data Engineering
Hands-on experience with AWS SageMaker and ML pipelines
Proficiency in TensorFlow PyTorch and scikit-learn frameworks
Experience with Git GitHub Actions Jenkins for version control