Overview
Infosys is seeking a Data Scientist / Gen AI Lead Consultant with Generative AI, Agentic AI, Machine Learning (ML), AI and Python experience. The ideal candidate will have prior experience in end-to-end implementation of Gen AI and Agentic AI solutions, fine-tuning large language models, and deploying models to production. The role requires working in alignment with data strategy at various clients, using multiple technologies and platforms.
Responsibilities
The job entails hands-on data science and Gen AI work, including: - End-to-end Gen AI and Agentic AI solution development - Fine-tuning large language models and ML models - Identifying the right problem and designing optimum solutions - Deploying models to production and supporting production environments - Working with data strategy across client projects and multiple technologies
Qualifications
Required Data Scientist Qualifications:
- Bachelor’s Degree or foreign equivalent; three years of progressive experience in lieu of every year of education may be considered
- 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 deploying Gen AI applications with agent frameworks (e.g., Langgraph, Autogen, Crew AI)
- Experience deploying Gen AI stack/services on AWS, GCP, Azure, IBM Watson
- Experience with Generative AI and multiple Large Language Models; implementing Advanced RAG-based solutions
- Experience 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 (e.g., FAISS, Pinecone, Weaviate, or Azure AI Search)
- Experience with Lean / Agile development methodologies
- Travel may be required; close coordination with offshore teams
- Locations: Bridgewater, NJ / Sunnyvale, CA / Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX / Alpharetta, GA or relocation willingness
Preferred Data Scientist 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 and experience of LLM fine-tuning and local deployment of open-source models
- Proficiency in building RESTful APIs (FastAPI, Flask, Django)
- Experience with model evaluation tools (DeepEval, FMeval, RAGAS, Bedrock model evaluation)
- Experience with perception (computer vision) and time series data analysis
- Big data experience preferred (HDFS, Hive, Spark, Scala)
- Data visualization tools (Tableau) and SQL/Hive query skills
- Good applied statistics skills (distributions, statistical testing, regression, etc.)
Compensation and Location
The estimated annual compensation range for Sunnyvale, CA is $94,000 to $164,500 .
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, we steer our clients through their digital journey by enabling the enterprise with an AI-powered core and agile digital at scale to deliver performance and customer delight. We pursue continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Equal Employment Opportunity
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.
#J-18808-Ljbffr