NeerInfo Solutions · 11 hours ago
Gen AI Lead Consultant
NeerInfo Solutions is seeking a Generative AI Lead Consultant with strong expertise in Generative AI and Machine Learning. The role involves driving end-to-end implementation of AI solutions and collaborating with stakeholders to build scalable AI systems aligned with enterprise data strategies.
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Responsibilities
Lead end-to-end development of Generative AI and Agentic AI solutions , including business problem discovery, solution design, model development, optimization, and deployment
Fine-tune, evaluate, and deploy Large Language Models and build Advanced RAG pipelines
Architect and implement AI workflows using LangGraph, AutoGen, Crew AI , or similar agent frameworks
Build scalable AI applications using Python , modern ML frameworks, and cloud-based GenAI services
Deploy solutions using platforms such as AWS Bedrock , Azure OpenAI , Google Vertex AI , or IBM Watson
Ingest and process unstructured data including PDFs, HTML, images, and audio-to-text pipelines
Work with vector databases such as FAISS, Pinecone, Weaviate, or Azure AI Search
Ensure data quality, data governance, and adherence to coding best practices across the AI lifecycle
Collaborate with agile teams, drive sprint execution, provide mentorship, and coordinate with offshore delivery teams
Build and publish reusable assets, best practices, and accelerators for AI implementations
Qualification
Required
Bachelor's Degree or foreign equivalent (or 3 years of relevant progressive experience per year of missing education)
7+ years of experience in Information Technology
4+ years of hands-on experience in Generative AI / Agentic AI / Machine Learning / Data Science
Strong proficiency in Python programming
Experience deploying AI applications using agent frameworks such as LangGraph, AutoGen, or Crew AI
Experience with cloud-native Gen AI services on AWS, Azure, GCP, or IBM Watson
Hands-on experience with RAG, multiple LLMs, and GenAI pipelines
Experience processing unstructured data (PDF, image, HTML, OCR, audio-to-text)
Strong understanding of data gathering, data quality, system architecture, and ML coding best practices
Experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
Experience with Agile/Lean development methodologies
Preferred
Experience with multiple programming languages— Python, R, Scala, Java, SQL
Hands-on experience with CI/CD pipelines & DevOps tools (Jenkins, GitHub Actions, Terraform)
Proficiency with both SQL and NoSQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB)
Deep Learning experience: CNNs, RNNs, LSTMs, and exposure to emerging research
Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain
Strong background in LLM fine-tuning, optimization, quantization, and local deployment
Experience building RESTful APIs using FastAPI, Flask, or Django
Knowledge of model evaluation tools such as DeepEval, FMEval, RAGAS, Bedrock evaluations
Experience with computer vision, time-series, and NLP pipelines
Strong Big Data skills: HDFS, Hive, Spark, Scala
Exposure to data visualization tools (Tableau) and data query tools (SQL, Hive)
Strong applied statistics background (distributions, statistical testing, regression, etc.)