Data Scientist / Gen AI Lead Consultant 

We are seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative 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. Required Qualifications:Bachelor’s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.Having years of Information Technology experiencehaving years of hands-on GenAI / Agentic AI and data science with machine learningStrong proficiency in Python programming.Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM WatsonExperience 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 data gathering, data quality, system architecture, coding best practicesHands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).Experience with Lean / Agile development methodologiesThis position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate.Preferred Data Scientist Qualifications: Having hands-on experience with more than one programming language; Python, R, Scala, Java, SQLHands-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 trendsExperience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.Strong understanding and experience of LLM fine-tuning, local deployment of open-source modelsProficiency 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, ScalaData visualization tools such as Tableau, Query languages such as SQL, HiveGood applied statistics skills, such as distributions, statistical testing, regression, etc.