Description

You will build and deploy AI and ML solutions to solve complex business problems.

Responsibilities

• Develop, experiment with, and evaluate ML models using structured and unstructured data.
• Apply supervised and unsupervised learning techniques across classification, prediction, clustering, NLP, and basic computer vision tasks.
• Optimize and tune models for accuracy, scalability, performance, and robustness.
• Deploy ML models on AWS/Azure using containers, serverless, or managed ML services.
• Translate product/business problems into data-driven ML solutions and integrate models into applications.

Required Skills

• Strong expertise in AI, ML, and Gen AI development.
• Hands-on experience with Agentic AI and agentic workflows.
• Knowledge of Vector Database integration.
• Proficiency in developing ML models for structured/unstructured data.
• Experience with NLP, basic CV, clustering, classification, and prediction tasks.
• Model deployment experience on AWS/Azure with containerization or serverless approaches.
• Ability to expose model inference via REST APIs and integrate with applications.
• Strong skills in feature engineering, model tuning, and performance optimization.
• Experience with LLM usage and operationalization.

Key Skills

Education

Any Graduate