Job details

Work Location

Alpharetta, GA, Austin, TX, Bridgewater, NJ, Charlotte, NC, Denver, CO, Houston, TX, New York, NY, Phoenix, AZ, Raleigh, NC, Richardson, TX, Sunnyvale, CA, Tempe, AZ

State / Region / Province

Arizona, California, Colorado, Georgia, New Jersey, New York, North Carolina, Texas, Virginia

Country

USA

Salary min

94000

Salary max

164500

Domain

Delivery

Interest Group

Infosys Limited

Skills

Domain(IBPO)|Analytics- Data science|Statistical Tools, Technology|Data Science|Machine Learning

Company

ITL USA

Requisition ID

135990BR

Job description

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with Generative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms.

Required Data Scientist Qualifications:

• Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 8 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 of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI.
• Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
• Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.
• Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
• Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization
• Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc.
• Experience working with multimodal models integrating image, text, or audio into GenAI workflows.
• Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
• Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops.
• Experience with LLMOps practices including prompt versioning, caching, observability, cost tracking, and production deployment of LLMs.
• Strong understanding of AI governance (like GDPR, explainability), data privacy, model safety (e.g., hallucination, toxicity, bias), and enterprise-grade compliance requirements.
• Experience with data gathering, data quality, system / microservices architecture, coding best practices
• Experience with Lean / Agile development methodologies
• This position may require travel, will involve close co-ordination with offshore teams
• This position is located in Bridgewater, NJ / Sunnyvale, CA / Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate.

Preferred Data Scientist 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 like Jenkins, GitHub Actions, or Terraform.
• Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
• Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
• Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
• Strong understanding and experience of LLM fine-tuning, local deployment of open-source models
• Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
• Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
• Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
• Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala
• Data visualization tools such as Tableau, Query languages such as SQL, Hive
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Exposure to Front -End / Full-Stack Integration (React / Angular, TypeScript, REST APIs, GraphQL, Event-Driven etc.)

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

The estimated annual compensation range for candidates in the below locations will be-
Sunnyvale, CA: $94000 to $164500

Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits :

• 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 and contributions dependent on salary level
• Paid holidays plus Paid Time Off

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 over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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.