Infosys Limited
Job Overview
Infosys is seeking a
Data Scientist / Gen AI Lead Consultant
with experience in Generative AI, Agentic AI, Machine Learning and Python. The ideal candidate will have a proven track record in end‑to‑end implementation of Gen AI and Agentic AI solutions, fine‑tuning large language models, designing optimal machine learning solutions and deploying models to production. The role involves aligning with data strategy at various clients, leveraging multiple technologies and platforms.
This position may require travel and close coordination with offshore teams. Candidates Diferent locations: 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 employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Required Qualifications
Bachelor’s Degree or equivalent; at least 3 years of progressive experience can substitute for each 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 Agent Frameworks such as Langgraph, Autogen, or Crew AI.
Experience deploying Gen AI stack/services across AWS, GCP, Azure, IBM Watson.
Experience with large language models and advanced RAG‑based solutions.
Experience processing/ingesting unstructured data from PDFs, HTML, images, audio to text.
Experience in data gathering, data quality, system architecture, and coding best practices.
Hands‑on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
Experience with Lean/Agile development methodologies.
Preferred Qualifications
4+ years of experience in mwisho programming languages: Python, R, Scala, Java, SQL.
Hands‑on experience with CI/CD pipelines and DevOps tools (Jenkins, GitHub Actions, Terraform).
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNNs, LSTMs and current research trends.
Experience with Python AI/ML frameworks such as TensorFlow, PyTorch, LangChain.
Strong understanding of LLM Për‑t बड़े fine‑tuning and local deployment of open‑source models.
Proficiency building RESTful APIs using FastAPI, Flask, or Django.
Experience with model evaluation tools (DeepEval, FMeval, RAGAS, Bedrock).
Experience in perception (computer vision) and time‑series data (text analysis).
Big Data experience (HDFS, Hive, Spark, Scala) strongly preferred.
Data visualization with Tableau, query languages such as SQL, Hive.
Strong applied statistics skills: distributions, testing, regression.
Compensation Annual compensation range for selected locations: 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
Insurance (Accident, Critical Illness, Hospital Indemnity,_is_)
401(k) plan with contributions dependent on salary level
About Us Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation removed by four decades of experience inesion. We serve clients with AI‑powered cores that prioritize change execution, empower business at scale and deliver unprecedented performance and customer delight. Our learning agenda drives continuous improvement by building and transferring digital skills and ideas from our innovation ecosystem.
EEO 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 experience in Generative AI, Agentic AI, Machine Learning and Python. The ideal candidate will have a proven track record in end‑to‑end implementation of Gen AI and Agentic AI solutions, fine‑tuning large language models, designing optimal machine learning solutions and deploying models to production. The role involves aligning with data strategy at various clients, leveraging multiple technologies and platforms.
This position may require travel and close coordination with offshore teams. Candidates Diferent locations: 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 employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Required Qualifications
Bachelor’s Degree or equivalent; at least 3 years of progressive experience can substitute for each 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 Agent Frameworks such as Langgraph, Autogen, or Crew AI.
Experience deploying Gen AI stack/services across AWS, GCP, Azure, IBM Watson.
Experience with large language models and advanced RAG‑based solutions.
Experience processing/ingesting unstructured data from PDFs, HTML, images, audio to text.
Experience in data gathering, data quality, system architecture, and coding best practices.
Hands‑on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
Experience with Lean/Agile development methodologies.
Preferred Qualifications
4+ years of experience in mwisho programming languages: Python, R, Scala, Java, SQL.
Hands‑on experience with CI/CD pipelines and DevOps tools (Jenkins, GitHub Actions, Terraform).
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNNs, LSTMs and current research trends.
Experience with Python AI/ML frameworks such as TensorFlow, PyTorch, LangChain.
Strong understanding of LLM Për‑t बड़े fine‑tuning and local deployment of open‑source models.
Proficiency building RESTful APIs using FastAPI, Flask, or Django.
Experience with model evaluation tools (DeepEval, FMeval, RAGAS, Bedrock).
Experience in perception (computer vision) and time‑series data (text analysis).
Big Data experience (HDFS, Hive, Spark, Scala) strongly preferred.
Data visualization with Tableau, query languages such as SQL, Hive.
Strong applied statistics skills: distributions, testing, regression.
Compensation Annual compensation range for selected locations: 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
Insurance (Accident, Critical Illness, Hospital Indemnity,_is_)
401(k) plan with contributions dependent on salary level
About Us Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation removed by four decades of experience inesion. We serve clients with AI‑powered cores that prioritize change execution, empower business at scale and deliver unprecedented performance and customer delight. Our learning agenda drives continuous improvement by building and transferring digital skills and ideas from our innovation ecosystem.
EEO 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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