Description

You will build and deploy production-ready solutions using Generative AI and Machine Learning techniques.

Responsibilities

• Build solutions using Generative AI, LLMs, and Machine Learning to solve business problems.
• Develop and deploy models into production systems, ensuring predictive accuracy and efficiency.
• Implement RAG, Knowledge Graphs, and LLM Grounding workflows.
• Perform exploratory data analysis to identify patterns, trends, and anomalies across numerical, tabular, and text data.
• Interact with clients to define requirements and document data pipelines and model workflows.
• Mentor junior data scientists and ensure data privacy and regulatory compliance.

Required Skills

• 5+ years of experience in software development or data science.
• Expert-level Python programming skills.
• Proficiency with LLMs including OpenAI, Claude, Gemini, Llama, and Mistral.
• Hands-on experience with Agentic AI techniques and frameworks such as LangGraph, Semantic Kernel, or AutoGen.
• Experience with Cloud AI platforms like Azure OpenAI, AWS Bedrock, or GCP VertexAI.
• Practical knowledge of RAG, Knowledge Graphs, and LLM Grounding.
• Experience with model hosting services such as Ollama or Huggingface transformers.
• Strong text processing skills, including pre-processing, post-processing, and data extraction via web scraping or document extraction.
• Proficiency in Regular Expressions (Regex) and data operations using pandas.
• Ability to integrate with third-party systems like SharePoint and various databases.

Preferred Skills

• Understanding of Deep Learning and Machine Learning models.
• Certifications such as Azure AI Engineer Associate, AWS Certified AI Practitioner, or GCP ML Engineer.

Key Skills

Education

Any Graduate