Job description

Data Scientist / Gen AI Lead Consultant Tempe, Arizona | Phoenix, Arizona | Denver, Colorado | Houston, Texas | Charlotte, North Carolina | Sunnyvale, California | Bridgewater, New Jersey | Austin, Texas | Raleigh, North Carolina | Richardson, Texas | New York, New York Permanent Required Data Scientist Qualifications: • At least 8 years of Information Technology experience • At least 4 years of hands-on GenAI / Agentic AI and 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 • Experience with Lean / Agile development methodologies • This position may require travel, will involve close co-ordination with offshore teams • Preferred Data Scientist Qualifications: • 4 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.

Requirements