- Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.

- Apply statistical skills and advanced statistical techniques and concepts.

- Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

- Leverage advanced knowledge of Python open-source software stack such as Django or Flask,

Django Rest or FastAPI, etc.

- Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

- Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases

- Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen

AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.

- Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.

- Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.

- Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.

- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks

- Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.

- Work closely with customers to understand their requirements and deliver customized AI solutions.

- Interact at appropriate levels to ensure client satisfaction and project success.

- Communicate complex technical concepts clearly to non-technical audiences.

- Conduct training sessions to enhance overall data science skills within the organization.

Basic Qualifications :

1+ years of experience :

- Architecting high-impact GenAI solutions for diverse clients with At least 2 projects having agents /agentic rag and integration with biz systems - exposure to MCP integration with enterprise applications.

- Enterprise scale solution design eg multii threading on vector db, integration with LLM

- Exposure to emerging tech and biz trends in AI / Agentic RAG based capabilities etc

- Exposure to predictive modelling, ANN additional plus

8+ year(s) of experience participating in projects that focused on one or more of the following areas :

- Predictive Analytics

- Data Design

- Generative AI

- AI/ML

- ML Ops

- 3+ years of experience using Python.

- Ability to travel at least 25%.

- Bachelors Degree required.

Preferred Skills :

- Preferably worked with hyperscaler based products eg bedrock, opensearch (and/or OpenAI Foundry, cosmos db) ) - else experienced in deploying other open-source integrated stack on cloud