Infosys-posted 2 months ago
$103,500 - $188,888/Yr
Full-time • Senior
Alpharetta, GA
Professional, Scientific, and Technical Services

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.

  • Implement end-to-end Generative AI and Agentic AI solutions.
  • Fine-tune large language models and machine learning models.
  • Identify the right problems and design optimum solutions.
  • Deploy models to production using best practices.
  • Work in alignment with data strategy at various clients.
  • Process and ingest unstructured data from various sources.
  • Coordinate closely with offshore teams.
  • Bachelor's Degree or foreign equivalent, or 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 experience with Generative AI and data science with machine learning.
  • Strong proficiency in Python programming.
  • Experience deploying Generative AI applications with Agent Frameworks like Langgraph, Autogen, Crew AI.
  • Experience with cloud platforms such as AWS, GCP, Azure, IBM Watson.
  • Experience with Vector Databases (FAISS, Pinecone, Weaviate, Azure AI Search).
  • Experience with Lean / Agile development methodologies.
  • 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, RNN, LSTMs.
  • Experience in Python AI/ML frameworks (TensorFlow, PyTorch, LangChain).
  • Proficiency in building RESTful APIs (FastAPI, Flask, Django).
  • Experience with data visualization tools (Tableau) and query languages (SQL, Hive).
  • 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
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