Infosys Limited
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 DevOps tools like Jenkins, GitHub Actions, or Terraform.
Proficiency in saved databases (PostgreSQL, Mongo ون, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNN, LSTMs and current research trends.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
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 DeepEval, 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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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 DevOps tools like Jenkins, GitHub Actions, or Terraform.
Proficiency in saved databases (PostgreSQL, Mongo ون, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNN, LSTMs and current research trends.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
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 DeepEval, 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.
#J-18808-Ljbffr