NeerInfo Solutions · 1 day ago
Gen AI Consultant
NeerInfo Solutions is seeking a Gen AI Consultant with expertise in Generative AI and Machine Learning. The role involves end-to-end implementation of AI solutions, fine-tuning large language models, and aligning with data strategies across various clients.
Responsibilities
Seeking a AI Consultant with Generative AI, Agentic AI, Machine Learning (ML), AI and Python experience
Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of ‘right’ problem, designing ‘optimum’ solution, implementing using ‘best in class’ practices and deploying the models to production
Will work in alignment with data strategy at various clients, using multiple technologies and platforms
Qualification
Required
Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 6 years of Information Technology experience
At least 4 years of hands-on GenAI / Agentic AI/ data science with machine learning
Strong proficiency in Python programming
Experience of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI
Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions
Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc
Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization
Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc
Experience working with multimodal models integrating image, text, or audio into GenAI workflows
Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search)
Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops
Experience with LLMOps practices including prompt versioning, caching, observability, cost tracking, and production deployment of LLMs
Strong understanding of AI governance (like GDPR, explainability), data privacy, model safety (e.g., hallucination, toxicity, bias), and enterprise-grade compliance requirements
Experience with data gathering, data quality, system / microservices architecture, coding best practices
Preferred
5+ years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL
Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB)
Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain
Strong understanding and experience of LLM fine-tuning, local deployment of open-source models
Proficiency in building RESTful APIs using FastAPI, Flask, or Django
Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation
Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala
Data visualization tools such as Tableau, Query languages such as SQL, Hive
Good applied statistics skills, such as distributions, statistical testing, regression, etc
Exposure to Front -End / Full-Stack Integration (React / Angular, TypeScript, REST APIs, GraphQL, Event-Driven etc.)