Infosys Limited
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. The candidate will lead end-to-end implementation of Gen AI and Agentic AI solutions, fine‑tuning large language models, designing optimal solutions, and deploying models to production. The role aligns with data strategies for various clients using multiple technologies and platforms.
Required Qualifications
Bachelor’s Degree or foreign equivalent, with consideration for three years of progressive experience in the specialty in lieu of 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 in deploying Gen AI stacks/services on AWS, GCP, Azure, or IBM Watson.
Experience in generative AI and working with multiple large language models to build advanced RAG solutions.
Experience processing/ingesting unstructured data from PDFs, HTML, image files, audio to text, etc.
Experience in data gathering, data quality, system architecture, and coding best practices.
Hands‑on experience with vector databases such as FAISS, Pinecone, Weaviate, or Azure AI Search.
Experience with lean/agile development methodologies.
Ability to travel and coordinate closely 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 more than one programming language: Python, R, Scala, Java, SQL.
Hands‑on experience with CI/CD pipelines and DevOps tools such as Jenkins, GitHub Actions, or Terraform.
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNNs, LSTMs, and latest research trends.
Experience in Python 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 such as DeepEval, FMeval, RAGAS, Bedrock model evaluation.
Experience in perception (e.g., computer vision), time‑series data, or text analysis.
Big data experience (HDFS, Hive, Spark, Scala) strongly preferred.
Data visualization tools such as Tableau and query languages such as SQL, Hive.
Good applied statistics skills: distributions, statistical testing, regression, etc.
Compensation Estimated annual compensation ranges by location:
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
Accident, Critical Illness, Hospital Indemnity, Legal insurance
401(k) plan with contributions dependent on salary level
About Infosys Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate digital transformation and support AI‑powered core capabilities.
EEO Statement Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices, 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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Required Qualifications
Bachelor’s Degree or foreign equivalent, with consideration for three years of progressive experience in the specialty in lieu of 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 in deploying Gen AI stacks/services on AWS, GCP, Azure, or IBM Watson.
Experience in generative AI and working with multiple large language models to build advanced RAG solutions.
Experience processing/ingesting unstructured data from PDFs, HTML, image files, audio to text, etc.
Experience in data gathering, data quality, system architecture, and coding best practices.
Hands‑on experience with vector databases such as FAISS, Pinecone, Weaviate, or Azure AI Search.
Experience with lean/agile development methodologies.
Ability to travel and coordinate closely 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 more than one programming language: Python, R, Scala, Java, SQL.
Hands‑on experience with CI/CD pipelines and DevOps tools such as Jenkins, GitHub Actions, or Terraform.
Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
Deep learning experience with CNNs, RNNs, LSTMs, and latest research trends.
Experience in Python 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 such as DeepEval, FMeval, RAGAS, Bedrock model evaluation.
Experience in perception (e.g., computer vision), time‑series data, or text analysis.
Big data experience (HDFS, Hive, Spark, Scala) strongly preferred.
Data visualization tools such as Tableau and query languages such as SQL, Hive.
Good applied statistics skills: distributions, statistical testing, regression, etc.
Compensation Estimated annual compensation ranges by location:
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
Accident, Critical Illness, Hospital Indemnity, Legal insurance
401(k) plan with contributions dependent on salary level
About Infosys Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate digital transformation and support AI‑powered core capabilities.
EEO Statement Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices, 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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