Senior AI/ML Engineer - MLOps & Generative AI

Project Role: AI / ML Engineer (MLOps)

Project Role Description:

Design, develop, and deploy production-ready AI/ML solutions using cloud AI services and MLOps best practices. Build scalable machine learning pipelines, deploy models, and ensure reliable performance in production environments.

Must Have Skills:

• Machine Learning Operations (MLOps)
• Machine Learning (ML)
• Natural Language Processing (NLP)

Good to Have Skills:

• Generative AI
• Multi-Cloud Experience

Experience Required:

• 5+ Years

Location:

• PAN INDIA

Educational Qualification:

• 15 Years Full-Time Education

Roles & Responsibilities:

• Design, build, and maintain scalable ML pipelines.
• Deploy machine learning models using Docker, FastAPI, and AWS.
• Manage batch and real-time model inference.
• Build and maintain CI/CD pipelines for ML projects using GitHub Actions or similar tools.
• Manage the complete ML lifecycle using MLflow and Airflow.
• Monitor model performance, data drift, and production health.
• Optimize models to improve performance and accuracy.
• Work with cross-functional teams to deliver AI solutions.
• Participate in technical discussions and knowledge-sharing sessions.
• Follow best practices for scalable and production-ready AI applications.

Professional & Technical Skills:

• Strong experience in MLOps, Machine Learning, or NLP.
• Hands-on experience with MLflow and Airflow (Mandatory).
• Experience with Docker and FastAPI.
• Experience deploying ML models on cloud platforms.
• Knowledge of AWS and Multi-Cloud environments.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Strong understanding of CI/CD for ML applications.
• Experience with model monitoring, model versioning, and model deployment.
• Good understanding of Generative AI concepts.
• Strong communication and problem-solving skills.

Additional Information:

• Minimum 5+ years of experience in Machine Learning Operations (MLOps).
• Experience with MLflow and Airflow is mandatory.
• Experience with Generative AI will be an added advantage.
• Location: PAN INDIA
• 15 years of full-time education is mandatory.