Data Scientist

Infosys Limited; Alpharetta (GA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Data Scientist / Gen AI Lead Consultant to drive innovative AI solutions. In this exciting role, you will leverage your expertise in Generative AI and Machine Learning to implement cutting-edge solutions across various platforms. The ideal candidate will have extensive experience in deploying AI applications, fine-tuning large language models, and working with unstructured data. Join a forward-thinking company that values diversity and offers a range of benefits, including health insurance and a 401(k) plan. If you're ready to make a significant impact in the AI landscape, this opportunity is for you.

Benefits

Health Insurance

401(k)

Paid Holidays

Qualifications

• 8+ years of IT experience with a focus on Gen AI and Agentic AI.
• Hands-on experience deploying ML models and applications.
• Proficiency in Python and experience with multiple programming languages.

Responsibilities

• Implement Gen AI solutions and fine-tune large language models.
• Work on data strategies across multiple clients and platforms.
• Coordinate with offshore teams and manage data quality.

Skills

Generative AI

Machine Learning

Python

Data Processing

Agile Methodologies

Education

Bachelor’s Degree or equivalent

Tools

Langgraph

Autogen

Crew AI

AWS

GCP

Azure

IBM Watson

FAISS

Pinecone

Weaviate

Job description

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with expertise in ZGenerative AI, Agentic AI, Machine Learning (ML), AI, and Python. The ideal candidate should have experience in end-to-end implementation of Gen AI and Agentic AI solutions, including fine-tuning large language models and deploying models to production. The role involves working with data strategies across multiple clients and platforms.

Required Data Scientist Qualifications:

• Bachelor’s Degree or equivalent, or three years of progressive experience per year of education.
• Minimum 8 years of IT experience.
• At least 4 years of hands-on experience in GenAI / Agentic AI and data science with ML.
• Proficiency in Python.
• Experience deploying Gen AI applications with frameworks like Langgraph, Autogen, Crew AI.
• Experience with Gen AI services on platforms like AWS, GCP, Azure, IBM Watson.
• Experience working with multiple Large Language Models and RAG solutions.
• Experience processing unstructured data (PDFs, HTML, images, audio).
• Knowledge of data quality, system architecture, and best coding practices.
• Hands-on with Vector Databases (FAISS, Pinecone, Weaviate, Azure AI Search).
• Experience with Agile methodologies.
• Willingness to travel and coordinate with offshore teams.
• Location options include Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Alpharetta, GA, or willingness to relocate.

Preferred Data Scientist Qualifications:

• Experience with multiple programming languages (Python, R, Scala, Java, SQL).
• Experience with CI/CD and DevOps tools (Jenkins, GitHub Actions, Terraform).
• Proficiency in NoSQL and SQL databases.
• Deep Learning experience with CNNs, RNNs, LSTMs.
• Experience with Python ML frameworks like TensorFlow, PyTorch, LangChain.
• Experience with fine-tuning LLMs and deploying open-source models.
• Building REST APIs (FastAPI, Flask, Django).
• Experience with evaluation tools (DeepEval, FMeval, RAGAS, Bedrock).
• Experience in perception and time series data analysis.
• Big Data experience (HDFS, Hive, Spark, Scala).
• Data visualization and query languages.
• Strong statistical skills.

The role involves extended computer work, communication, and possible travel based on job requirements. The annual compensation varies by location, with benefits including health insurance, 401(k), paid holidays, and more. Infosys is committed to equal employment opportunities.