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Data Scientist

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Infosys
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 94000 - 164500 USD Yearly USD 94000.00 164500.00 YEAR
Job Description & How to Apply Below

Data Scientist / Gen AI Lead Consultant

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with experience in Generative AI, Agentic AI, machine learning, AI, and Python. Ideal candidates have prior experience in end‑to‑end implementation of Gen AI and Agentic AI solutions, fine‑tuning large language models, and deploying machine learning models to production.

Required Qualifications
  • Bachelor’s Degree or foreign equivalent; three years of progressive experience may substitute for one year of education.
  • 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 deploying Gen AI applications with frameworks like Langgraph, Autogen, Crew AI.
  • Experience deploying the Gen AI stack/services on AWS, GCP, Azure, IBM Watson.
  • Experience with generative AI and advanced RAG solutions.
  • Experience ingesting unstructured data from PDFs, HTML, images, and audio to text.
  • Experience with data gathering, quality, system architecture, and coding best practices.
  • Hands‑on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
  • Experience with Lean / Agile methodologies.
  • May require travel and collaboration with offshore teams.
  • Positions 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 willingness to relocate.
  • Candidates authorized to work in the United States without visa sponsorship are welcome;
    Infosys does not provide immigration sponsorship for this role.
Preferred Qualifications
  • 4+ years of hands‑on experience with multiple languages:
    Python, R, Scala, Java, SQL.
  • Experience with CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Terraform.
  • Proficiency in No

    SQL and SQL databases (Postgre

    SQL, Mongo

    DB, Cosmos

    DB, Dynamo

    DB).
  • Deep learning experience with CNNs, RNNs мар LSTMs, and latest research trends.
  • Experience in Python AI/ML frameworks such as Tensor Flow, PyTorch, Lang Chain.
  • Strong understanding of large language model fine‑tuning and local deployment of open‑source models.
  • Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
  • Experience with model evaluation tools like Deep Eval, FMeval, RAGAS, Bedrock model evaluation.
  • Experience with perception (e.g., computer vision) and time‑series data.
  • Big data experience preferred: HDFS, Hive, Spark, Scala.
  • Data visualization tools (Tableau, etc.) and query languages (SQL, Hive).
  • Good applied statistics skills (distributions, statistical testing, regression).

The role involves extended periods of sitting and computer work. Applicants must communicate via phone, email, or face‑to‑face, and travel may be required.

Estimated annual compensation varies by location:
Sunnyvale, CA;
Bridgewater, NJ;
New York, NY;
Denver, CO: $94,000 – $164,500. flavorful>

Benefits
  • Medical, Dental, Vision, Life Insurance.
  • Long‑term/Short‑term Disability.
  • Health and dependent care reimbursement accounts.
  • Accident, critical illness, hospital indemnity, and legal insurance.
  • 401(k) plan and contributions dependent on salary level.
  • Paid holidays and paid time off.
Equal Employment Opportunity

_contact info_ Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices, national origin, pregnancy, related medical conditions, status as a protected veteran or spouse/family of a protected veteran, or disability.

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