Data Analyst

Principal Responsibilities:

1. Proven Experience in Gen Artificial Intelligence, Artificial Intelligence, Large Language Model, Machine Learning, knowledge of training/fine tune model or Natural Language Processing.
2. Experience with Retrieval Augmented Generation concepts and fundamentals (VectorDBs).
3. Experience with containerization and orchestration technologies (Kubernetes, Docker).
4. Manage prioritization and technology work for building Natural Language Processing, Machine Learning & Artificial Intelligence, solutions experience in experimenting and developing with Large Language Model.
5. Create and manage best practices for Machine Learning models integration, orchestration, and deployment, that will ensure secure including data versioning, ingress and model output egress, Continuous Integration / Continuous Deployment pipelines for Machine Learning Operations and Large Language Model Operations.
6. Programming Skill : Python and libraries like Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
7. Cloud Platforms knowledge have to : Azure / Google Cloud Platform.

Requirements

1. Should be strong technical background e.g. B.Tech /MTech from top tier institutes.
2. At least 8-10 years of experience in deploying end to end data science focused solutions.
3. Master's degree in any of these disciplines is a big plus – Mathematics / Statistics / Computer Science / Data Science or other quantitative fields of study.
4. Proficiency with python and the python Machine Learning tool kit along with Deep Learning frameworks (Pytorch/Tensorflow).
5. Experience in working with complex multi-layered datasets, imbalanced datasets, and unstructured data.
6. Experience with Machine Learning deployment strategies using micro services, Cloud Platforms.
7. Knowledge and exposure to cloud analytics platform such as Google Cloud Platforms, Vertex, Amazon Web Services Sagemaker, Azure Machine Learning, etc.