Infosys is seeking a Senior Lead Analyst with Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of 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 5 years of Information Technology experience
• At least 2 years of hands-on Gen AI / Agentic AI and data science with machine learning
• Strong knowledge of Python
• Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, 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 data gathering, data quality, system architecture, coding best practices
• Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
• Experience with Lean / Agile development methodologies
• This position may require travel, will involve close co-ordination with offshore teams
• This position is located in Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate.

Preferred Data Scientist Qualifications:

• 5 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).
• Experience in Python AI/ML frameworks such as Tensor Flow, Py Torch, or Lang Chain.
• Strong understanding of LLM fine-tuning, local deployment of open source models
• Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
• Knowledge in Model evaluation tools like Deep Eval, 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
• Strong applied statistics skills, including knowledge of distributions, statistical testing, regression, and related techniques

The job entails an extensive amount of travel. The job also 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