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 settings.
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.
Positive understanding of Generative AI concepts.
Robust communication and problem-solving skills.

Additional Information:
Minimum 5+ years of experience in Machine Learning Operations (MLOps).
Experience with MLflow and Airflow is mandatory.
Experienc

📌 Senior Ai/ml Engineer Bengaluru
🏢 Lecan Solutions
📍 Bengaluru