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.
- Valuable 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.
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📌 AI/ML Engineer (Bengaluru)
🏢 Work Place
📍 Bengaluru