Python + Machine Learning + MLOps Engineer

We are seeking a skilled Python + Machine Learning + MLOps Engineer to design, build, and deploy scalable machine learning solutions across enterprise environments. You will develop end-to-end ML pipelines, operationalize models in production, and collaborate with cross-functional teams to deliver reliable, high-performance AI solutions.
- Design, develop, and deploy machine learning models and data-driven solutions using Python.
- Build and maintain end-to-end ML pipelines for data ingestion, training, validation, deployment, and monitoring.
- Develop scalable and production-ready machine learning systems following MLOps best practices.
- Optimize model performance, reliability, and scalability across cloud and on-premise environments.
- Collaborate with data scientists, data engineers, and business stakeholders to translate requirements into ML solutions.
- Implement automated model training, testing, deployment, and monitoring workflows.
- Establish CI/CD pipelines for machine learning applications and model lifecycle management.




- Monitor model drift, data quality, and production performance to ensure continuous improvement.
- Contribute to code reviews, technical documentation, and engineering best practices.
- Robust Python programming skills with hands-on experience in machine learning development.
- Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, DVC, or SageMaker.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Good to Have
- Experience with cloud platforms including Azure, AWS, or Google Cloud Platform.
- Knowledge of DevOps practices, Infrastructure as Code (Terraform, Ansible), and CI/CD tools.
- Exposure to Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
- Experience with big data technologies such as Spa

📌 Python + ML + MLOps (Bengaluru)
🏢 Infosys
📍 Bengaluru