AI / ML Engineer (MLOps) :

Location : Bengaluru

Experience : 5+ Years

Job Summary :

We are looking for an experienced AI/ML Engineer with strong expertise in Machine Learning Operations (MLOps) to build, deploy, and manage production-ready machine learning systems. The ideal candidate will have hands-on experience in designing scalable ML pipelines, deploying models, implementing CI/CD workflows, and managing the end-to-end machine learning lifecycle.

Key Responsibilities :

- Design, develop, and maintain scalable machine learning pipelines to support AI initiatives.

- Build and deploy production-ready machine learning models using cloud AI services and modern MLOps practices.

- Containerize and deploy models using Docker and FastAPI for real-time and batch inference.

- Implement and manage CI/CD pipelines for ML workflows using tools such as GitHub Actions.

- Manage the complete model lifecycle, including versioning, packaging, registration, and governance using MLflow or similar tools.

- Monitor model performance, data drift, and system health, and proactively optimize models to ensure accuracy and efficiency.

- Collaborate with cross-functional teams and contribute to key technical decisions.

- Mentor junior team members and drive best practices across projects.

Required Skills :

- Strong expertise in Machine Learning Operations (MLOps).

- Advanced Python programming skills.

- Hands-on experience with ML pipeline development and deployment.

- Experience with Docker, FastAPI, and containerized deployments.

- Strong knowledge of CI/CD automation and workflow orchestration.

- Mandatory experience with MLflow and Airflow.

- Good exposure to cloud platforms and AI services.

- Thorough understanding of infrastructure requirements for MLOps implementation.

- Experience with machine learning frameworks and production environments.

- Multi-cloud experience is highly preferred.

Preferred Qualifications :

- Minimum 5 years of experience in Machine Learning Operations.

- Strong analytical and problem-solving skills.

- Ability to work in a collaborative and fast-paced environment.

- Experience in monitoring, optimizing, and scaling machine learning systems.