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Sr Data Scientist

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Infosys Limited
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 103500 - 188888 USD Yearly USD 103500.00 188888.00 YEAR
Job Description & How to Apply Below

Job Role

Data Scientist

Location

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;
Alpharetta, GA – or willing to relocate.

Overview

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning неис, AI, and Python experience. Ideal candidate has end‑to‑end experience with Gen AI/Agentic AI solutions, fine‑tuning large language models, and deploying models to production. The role aligns with varying client data strategies using multiple technologies and platforms.

Required Qualifications
  • Bachelor’s Degree or foreign equivalent; three years of progressive experience in the specialty considered in lieu of each yearفاوت.
  • At least 7 years of Information Technology experience.
  • At least 4 years of hands‑on GenAI / Agentic commissie AI and data science with machine learning.
  • Strong proficiency in Python programming.
  • Experience deploying Gen AI applications with Agent Frameworks like Langgraph, Autogen, or Crew AI.
  • Experience deploying the Gen AI stack/services on AWS, GCP, Azure, or IBM Watson.
  • Experience in generative AI, multiple LLMs and advanced RAG solutions.
  • Experience processing/ingesting unstructured PDFs, HTML, images, 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).
  • Position may require travel and close coordination with offshore teams.
  • Authorized to work in the United States without employer‑based visa sponsorship;
    Infosys cannot provide immigration sponsorship.
Preferred Qualifications
  • 4 years of hands‑on experience with multiple languages (Python, R, Scala, Java, SQL).
  • Hands‑on experience with CI/CD pipelines and Dev Ops tools like Jenkins, Git Hub Actions, or Terraform.
  • Proficiency in saved databases (Postgre

    SQL, Mongo ون, Cosmos

    DB, Dynamo

    DB).
  • Deep learning experience with CNNs, RNN, LSTMs and current research trends.
  • Experience with AI/ML frameworks such as Tensor Flow, PyTorch, or Lang Chain.
  • Strong understanding of LLM 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.
  • Experience with perception (e.g., computer vision) or time‑series data.
  • Big Data experience preferred (HDFS, Hive, Spark, Scala).
  • Data visualization tools such as Tableau and query languages (SQL, Hive).
  • Strong statistical skills (distributions, testing, regression).
Compensation

The estimated annual compensation range for candidates in the following locations is:
Sunnyvale, CA;
Bridgewater, NJ;
New York, NY;
Denver, CO: $103,500 to $188,888.

Benefits

Long‑term/Short‑term Disability
Health and Dependent Care Reimbursement Accounts
401(k) plan and salary‑dependent contributions.

Other Notes

The role requires sitting at a computer for extended periods. Communication may be by telephone, email, or face‑to‑face. Travel may be required as per job responsibilities.

About Infosys

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in over 50 countries to navigate digital transformation, building AI‑powered cores and agile digital initiatives that drive performance and customer delight. Our learning agenda supports continuous improvement across our innovation ecosystem.

EEO Statement

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

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