Description

Key Responsibilities

Design, develop, and deploy ML models and Agentic AI solutions.

Build scalable cloud-based ML applications and data pipelines.

Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks.

Monitor model performance, governance, observability, and reliability.

Lead technical problem-solving and mentor engineering team members.

Develop applications using Python, C++, SQL, and modern AI frameworks.

Required Skills

Strong experience in Traditional Machine Learning and Agentic AI.

Expertise in MLOps, Model Deployment, and Cloud Engineering.

Solid background in Software Engineering and System Design.

Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs.

Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees.

Strong understanding of data engineering, distributed systems, and AI lifecycle management.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.

Excellent problem-solving, communication, and collaboration skills.

Experience working in Agile development environments

Key Skills

Education

Bachelor's degree