Artificial Intelligence Machine learning

Location : Pan India

Mandatory: Deep understanding of AI and machine learning algorithms, including large language models (LLMs). Like Azure OpenAI, Mystral proficiency in deployment of LLM on On Prem or local Server

Good to have: Integration with , Gemini ,Knowledge of Agentic AI and Agentic RAG

Cloud Computing

Mandatory: Proficiency in cloud platforms like Azure for deploying AI solutions and using existing AI capability of cloud platform. Good understanding of Azure Container Registry, Azure Container Instance and App Services

Good to have: Proficiency in cloud platforms like AWS, Google Cloud for deploying AI solutions

Programming Skills

Mandatory: Strong coding skills in languages such as Python. Fast API, Flask API creation and integration of API from third party tools like SNOW, Sharepoint.

Strong skills in UI development in Angular, Streamlit, HTML, CSS, Java script

Expertise in TensorFlow, PyTorch, and relevant AI/ML libraries to fine-tune models

Good to have: Integration with monitoring tools (e.g., Solarwinds, Splunk, NewRelic)

Data Engineering

Mandatory: Data flow diagram and data security at rest and motion.

Good to have: Collaboration with team to analyze business data and understand to implement the solution and ensure data security and compliance

Solution Architecture

Mandatory: Ability to design and implement scalable AI, GenAI solutions tailored to business needs. Architecture, design development and walkthrough with customer.

Designing Hardware and Software requirement to deploy GenAI solution for On-Prem or Cloud.

Good understanding of Multi factor Authentication.

Good to have: Cost estimation for GenAI solution deployment on Cloud Platform.

Technical Advisory

Mandatory: Providing technical guidance and support to customers and stakeholders.

Database

Mandatory : Understanding of deployment and integration of Postgres database.

Good to have : knowledge in Chroma DB