Gen AI Engineer

Infosys - Alpharetta, GA

- Mid Level

Alpharetta, GA

Professional, Scientific, and Technical Services

About the position

Infosys is seeking a Gen AI engineer with machine learning and Python experience. You will work on productionizing E2E Gen AI solutions, Agentic AI frameworks, machine learning models and guide development team for implementing end to end machine learning use case. They will define end to end architecture of Data Science and machine learning project along with being the technology architect. The candidate will provide technology consulting for defining right Generative AI, Agentic AI, Data Science and ML use cases.

Responsibilities

• Productionizing E2E Gen AI solutions and Agentic AI frameworks.
• Guiding development teams in implementing end-to-end machine learning use cases.
• Defining end-to-end architecture for Data Science and machine learning projects.
• Providing technology consulting for Generative AI, Agentic AI, Data Science, and ML use cases.

Requirements

• Bachelor's degree or foreign equivalent required from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 2 years of experience with Information Technology.
• At least 2 years of NLP analysis skills, software engineering or systems analysis experience preferred.
• Strong programming skills in Python and R.
• Strong fundamentals in machine learning.
• Experience with CNNs, RNNs, LSTMs, and the latest research trends in Deep Learning.
• Experience with Lean / Agile development methodologies.
• Hands-on experience with more than one programming language; Python, R, Scala, Java, SQL.
• Experience in productionizing Gen AI technologies and Advanced RAG based implementations.
• Demonstrated experience working with Large Language Models (LLMs), AWS, Azure, or Google cloud infrastructure.
• Proficiency in developing full stack applications and API services.
• 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 data gathering, data quality, system architecture, coding best practices.
• Big Data Experience strongly preferred - HDFS, Hive, Spark, Scala.
• Experience with perception (e.g. computer vision), time series data (e.g. text analysis).
• Experience with data visualization tools such as Tableau, Query languages such as SQL, Hive.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience and desire to work in a Global delivery environment.