Python Developer with AI/ML

At least three years python coding experience (possibly willing to interview candidates with less experience if they have a portfolio of python code that we can review)
Demonstrable experience with data analysis packages: Pandas, numpy, seaborn, matplotlib
Demonstrable experience with two or more ML packages: scikit-learn, XGBoost, Keras, Tensorflow
Demonstrable experience with GIT-based source code repositories

Desired:
Demonstrable experience with python packaging and dependency management, including pip, setup.py, and pyproject.toml
Demonstrable experience with AWS services (ECS, Lambda, S3, SQS, SNS)
Demonstrable experience with building HTTP-based APIs with FastAPI or Flask
Demonstrable experience with calling HTTP-based services via requests
Exposure to MCP Exposure to LangChain.

Help in AI journey, build - it requires a python background, AI/ML with Python programing. experience with ML packages, use it, this involves AI - pandas, panda, seaborn, scfi, xboost. not 8/9 years with all this tech - 3/5 years really work in AI based projects that understands how to use AWS, integrate with API, most of the time build services - at an enterprise level.

The role involves designing and building services that integrate AWS and expose APIs, typically at the enterprise level.

The team is currently focused on MVP implementation, so candidates must have experience building from scratch understanding requirements, designing architecture, and developing scalable solutions from the ground up.

Exposure to MCPi is preferred. We expect candidates who can design and architect solutions, not just code.

Most of the time my team builds services at enterprise level.

Exposure to MCP

experience with e ML packages: scikit-learn, XGBoost, Keras, Tensorflow