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.

📌 Senior AI/ML Engineer - MLOps & Generative AI (Hyderabad)
🏢 Lecan Solutions
📍 Hyderabad