Data Scientist

Overview

Remote
$80,000 - $160,000
Full Time
No Travel Required

Skills

Statistics
Machine Learning (ML)
Artificial Intelligence
Generative Artificial Intelligence (AI)

Job Details

Senior Gen AI/Agentic AI Full stack Lead Alpharetta, GA Atlanta, GA Austin, TX Bridgewater, NJ Charlotte, NC Hartford, CT Houston, TX Phoenix, AZ Raleigh, NC Richardson, TX Sunnyvale, CA Tempe, AZ Fulltime

Required Full stack Gen AI/Agentic AI Qualifications:

  • At least 5 years of Information Technology experience
  • At least 2 years of hands-on Gen AI / Agentic AI and data science with machine learning
  • Strong knowledge of Python
  • 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, Google Cloud Platform, 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
  • This position may require travel, will involve close co-ordination with offshore teams

Preferred Data Scientist Qualifications:

  • 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).
  • Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
  • Strong understanding of LLM fine-tuning, local deployment of open source models
  • Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
  • Knowledge 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.