Description

You will design and deploy generative AI and machine learning solutions to solve complex business problems.

This role is hybrid.

Responsibilities

• Build and optimize Generative AI and Machine Learning solutions for predictive accuracy and efficiency.
• Deploy machine learning models into production systems and manage ongoing updates.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies across numerical, tabular, and text data.
• Interact with clients to translate business requirements into technical data science projects.
• Document data pipelines, analysis methods, and model workflows while mentoring junior data scientists.

Required Skills

• 10+ years of experience in professional technical roles.
• Advanced proficiency in Python programming.
• Hands-on experience with LLMs including OpenAI, Claude, Gemini, Llama, and Mistral.
• Practical experience implementing RAG, Knowledge Graphs, and LLM Grounding.
• Experience developing solutions using Agentic AI techniques and frameworks like LangGraph, Semantic Kernel, or AutoGen.
• Proficiency in cloud platforms for Generative AI such as Azure OpenAI, AWS Bedrock, or GCP VertexAI.
• Experience with model hosting services like Ollama or Huggingface transformers.
• Strong skills in text pre-processing, post-processing, and data extraction via web scraping or document extraction.
• Expertise in Regular Expressions (Regex) and data operations using pandas.

Preferred Skills

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

Key Skills

Education

Any Graduate