Infosys Limited
Overview
Infosys is seeking a
Data Scientist / Gen AI Lead Consultant
with experience in Generative AI, Agentic AI, Machine Learning (ML), AI and Python. The ideal candidate has prior experience in end-to-end implementation of Gen AI and Agentic AI based solutions, fine tuning large language models, and deploying models to production. Role involves aligning with data strategy at various clients, using multiple technologies and platforms. Responsibilities
The role involves identifying the right problems, designing optimum solutions, implementing using best-in-class practices, and deploying Gen AI/Agentic AI models to production. Work with data strategy across client environments and across multiple technologies and platforms. The job may require travel and close coordination with offshore teams. This position is located in multiple U.S. locations or is willing to relocate. Qualifications
Bachelor’s Degree or foreign equivalent (three years of progressive experience in lieu of every 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 like Langgraph, Autogen, Crew AI.
Experience deploying Gen AI stack/services on AWS, GCP, Azure, IBM Watson.
Experience in Generative AI with multiple Large Language Models and Advanced RAG solutions.
Experience in processing/ingesting unstructured data (PDFs, HTML, images, audio to text, etc.).
Experience with data gathering, data quality, system architecture, and coding best practices.
Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, or Azure AI Search).
Experience with Lean/Agile development methodologies.
This position may require travel and coordination with offshore teams.
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; Alpharetta, GA, or willingness to relocate.
Candidates authorized to work in the United States without employer sponsorship are welcome to apply. Infosys cannot provide immigration sponsorship for this role at this time.
Preferred Qualifications
4 years of hands-on experience with more than one programming language (Python, R, Scala, Java, SQL).
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 (TensorFlow, PyTorch, 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 (DeepEval, FMeval, RAGAS, Bedrock model evaluation).
Experience in perception (computer vision) and time-series data analysis.
Big data experience preferred (HDFS, Hive, Spark, Scala).
Data visualization tools (Tableau) and query languages (SQL, Hive).
Good applied statistics skills (distributions, statistical testing, regression).
Compensation & Benefits
The estimated annual compensation range for the listed locations is $94,000 to $164,500. Benefits include Medical/Dental/Vision/Life Insurance; Long-term/Short-term Disability; Health and Dependent Care Reimbursement Accounts; Insurance ( Accident, Critical Illness, Hospital Indemnity, Legal); 401(k) plan with employer contributions; Paid holidays and PTO. 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 with an AI-powered core and agile digital at scale. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, disability, or veteran status.
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Infosys is seeking a
Data Scientist / Gen AI Lead Consultant
with experience in Generative AI, Agentic AI, Machine Learning (ML), AI and Python. The ideal candidate has prior experience in end-to-end implementation of Gen AI and Agentic AI based solutions, fine tuning large language models, and deploying models to production. Role involves aligning with data strategy at various clients, using multiple technologies and platforms. Responsibilities
The role involves identifying the right problems, designing optimum solutions, implementing using best-in-class practices, and deploying Gen AI/Agentic AI models to production. Work with data strategy across client environments and across multiple technologies and platforms. The job may require travel and close coordination with offshore teams. This position is located in multiple U.S. locations or is willing to relocate. Qualifications
Bachelor’s Degree or foreign equivalent (three years of progressive experience in lieu of every 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 like Langgraph, Autogen, Crew AI.
Experience deploying Gen AI stack/services on AWS, GCP, Azure, IBM Watson.
Experience in Generative AI with multiple Large Language Models and Advanced RAG solutions.
Experience in processing/ingesting unstructured data (PDFs, HTML, images, audio to text, etc.).
Experience with data gathering, data quality, system architecture, and coding best practices.
Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, or Azure AI Search).
Experience with Lean/Agile development methodologies.
This position may require travel and coordination with offshore teams.
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; Alpharetta, GA, or willingness to relocate.
Candidates authorized to work in the United States without employer sponsorship are welcome to apply. Infosys cannot provide immigration sponsorship for this role at this time.
Preferred Qualifications
4 years of hands-on experience with more than one programming language (Python, R, Scala, Java, SQL).
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 (TensorFlow, PyTorch, 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 (DeepEval, FMeval, RAGAS, Bedrock model evaluation).
Experience in perception (computer vision) and time-series data analysis.
Big data experience preferred (HDFS, Hive, Spark, Scala).
Data visualization tools (Tableau) and query languages (SQL, Hive).
Good applied statistics skills (distributions, statistical testing, regression).
Compensation & Benefits
The estimated annual compensation range for the listed locations is $94,000 to $164,500. Benefits include Medical/Dental/Vision/Life Insurance; Long-term/Short-term Disability; Health and Dependent Care Reimbursement Accounts; Insurance ( Accident, Critical Illness, Hospital Indemnity, Legal); 401(k) plan with employer contributions; Paid holidays and PTO. 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 with an AI-powered core and agile digital at scale. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, disability, or veteran status.
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