Infosys is seeking an Associate Data Scientist / Gen AI Lead with Generative AI, Agentic Frameworks, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI solutions, 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.

This position is based out of Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA / Sunnyvale, CA and may require travel.

• 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 4 years of Information Technology experience
• At least 1 years of hands-on data science with machine learning
• Experiences with Python or R
• Experience with data gathering, data quality, system 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 may require travel.

• 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL
• Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
• Experience or Knowledge with Generative AI and working with any Large Language Models and implementing Advanced RAG based solutions.
• Knowledge of Agent Frameworks like Langgraph, Autogen, Crew AI is a plus.
• Prior experience in Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson
• Proficiency in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
• Knowledge in vector databases and methods to tune vector search and retrieval process to improve accuracy and reduce latency.
• Knowledge 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.