AI/ML

Data Scientist / Gen AI Lead Consultant

Raleigh, NC

Fulltime

Required Qualifications:

• At least 7 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, 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 data gathering, data quality, system architecture, coding best practices
• Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
• Experience with Lean / Agile development methodologies

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.