Infosys Limited
Job Overview
Infosys is seeking a
Data Scientist / Gen AI Lead Consultant
with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. The ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solutions, fine‑tuning large language models, and deploying machine learning models to production. The role works in alignment with data strategy for various clients using multiple technologies and platforms.
Required Qualifications Bachelor’s Degree or foreign equivalent. At least 7 years of Information Technology experience and 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 such as Langgraph, Autogen, or Crew AI. Experience with Gen AI platforms (AWS, GCP, Azure, IBM Watson) and advanced RAG solutions. Ability to process unstructured data from PDFs, HTML, images, and audio. Knowledge of vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) and Agile development methodologies. Travel may be required and close coordination with offshore teams is expected.
Preferred Qualifications Hands‑on experience with multiple programming languages (Python, R, Scala, Java, SQL). CI/CD and DevOps tools (Jenkins, GitHub Actions, Terraform). NoSQL and SQL database expertise (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep learning experience (CNNs, RNNs, LSTMs). Python AI/ML frameworks (TensorFlow, PyTorch, LangChain). LLM fine‑tuning and open‑source model deployment. RESTful API development (FastAPI, Flask, Django). Model evaluation tools (DeepEval, FMeval, RAGAS, Bedrock). Experience with computer vision, time series, and big data (HDFS, Hive, Spark, Scala). Data visualization (Tableau) and applied statistics.
Benefits
Long‑term/Short‑term Disability
Health and Dependent Care Reimbursement Accounts
Accident, Critical Illness, Hospital Indemnity, Legal Insurance
401(k) plan and contributions dependent on salary level
Location & Travel The position is 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 is willing to relocate. Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
EEO Statement Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.
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Data Scientist / Gen AI Lead Consultant
with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. The ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solutions, fine‑tuning large language models, and deploying machine learning models to production. The role works in alignment with data strategy for various clients using multiple technologies and platforms.
Required Qualifications Bachelor’s Degree or foreign equivalent. At least 7 years of Information Technology experience and 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 such as Langgraph, Autogen, or Crew AI. Experience with Gen AI platforms (AWS, GCP, Azure, IBM Watson) and advanced RAG solutions. Ability to process unstructured data from PDFs, HTML, images, and audio. Knowledge of vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) and Agile development methodologies. Travel may be required and close coordination with offshore teams is expected.
Preferred Qualifications Hands‑on experience with multiple programming languages (Python, R, Scala, Java, SQL). CI/CD and DevOps tools (Jenkins, GitHub Actions, Terraform). NoSQL and SQL database expertise (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep learning experience (CNNs, RNNs, LSTMs). Python AI/ML frameworks (TensorFlow, PyTorch, LangChain). LLM fine‑tuning and open‑source model deployment. RESTful API development (FastAPI, Flask, Django). Model evaluation tools (DeepEval, FMeval, RAGAS, Bedrock). Experience with computer vision, time series, and big data (HDFS, Hive, Spark, Scala). Data visualization (Tableau) and applied statistics.
Benefits
Long‑term/Short‑term Disability
Health and Dependent Care Reimbursement Accounts
Accident, Critical Illness, Hospital Indemnity, Legal Insurance
401(k) plan and contributions dependent on salary level
Location & Travel The position is 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 is willing to relocate. Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
EEO Statement Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.
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