AI / ML Engineer
On-site · Indore, Madhya Pradesh, India
Job Summary
AI / ML Engineer responsible for designing and operationalizing production-ready ML systems leveraging AI tools and cloud services. Responsibilities include building scalable ML pipelines, deploying models as robust services (containerized with Docker, served via FastAPI on AWS), managing model lifecycle with registries (MLflow or similar), and implementing CI/CD for ML projects. Must apply GenAI models, handle both batch and real-time inference, monitor data drift and system health, and coordinate with multiple teams. Requires strong ML Ops capabilities, multi-cloud familiarity, experience with ML frameworks, and the ability to drive production readiness from development through deployment.
Required Qualifications
- Minimum 7.5 years of experience in Machine Learning Operations
- 15 years full-time education
- Proficiency in Machine Learning Operations
- Strong understanding of cloud-based AI services and deployment strategies
- Should have multi-cloud skills
- Experience with machine learning frameworks
- Ability to implement and optimize machine learning models for production environments
- Experience deploying ML models as robust services (Docker, FastAPI, AWS) and monitoring/model lifecycle management
- Experience with MLFlow and Airflow (mandatory)
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