Job Description:

Key Skills:

- Artificial Intelligence, Machine Learning, Generative AI, LLM, Python, SQL, AWS Lambda, AWS Glue, AWS Step Functions, EventBridge Scheduler, MLOps, CI/CD, REST APIs, Model Serving, AI Agents

Roles & Responsibilities:

- Develop and deploy production-ready Machine Learning and Generative AI solutions.

- Build ML pipelines for model development, evaluation, inference, and optimization.

- Design and develop LLM-based applications, AI agents, and automated workflows.

- Create REST APIs for model serving and AI application integration.

- Implement AWS serverless solutions using Lambda, Glue, Step Functions, and EventBridge.

- Manage MLOps workflows for model deployment, monitoring, and updates.

- Build and maintain CI/CD pipelines using Bitbucket.

- Optimize AI solutions for performance, scalability, and reliability.

- Collaborate with data scientists and engineering teams to deliver AI products.

Experience Required:

- 5-8 years of experience in AI/ML Engineering and production model delivery.

- Strong experience in Machine Learning model development, evaluation, and deployment.

- Hands-on experience with Generative AI, LLM applications, and AI agents.

- Experience with AWS serverless services including Lambda, Glue, Step Functions, and EventBridge.

- Experience in REST API development and model-serving infrastructure.

- Knowledge of MLOps practices, CI/CD workflows, and production deployments.

- Strong programming skills in Python and SQL.

- Good problem-solving and analytical skills.