Senior Gen AI Lead Full-time

Job details

Country

USA

State / Region / Province

Arizona, Georgia, North Carolina, Texas

Work Location

Alpharetta, GA, Charlotte, NC, Houston, TX, Phoenix, AZ, Raleigh, NC, Richardson, TX, Tempe, AZ

Domain

Delivery

Interest Group

Infosys Limited

Skills

Technology|Artificial Intelligence|Artificial Intelligence – ALL

Company

ITL USA

Requisition ID

129425BR

Job description

Infosys is seeking a Senior Lead Analyst / Gen AI Lead 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 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.

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 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 is located in Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. This position may require travel.

Preferred Data Scientist Qualifications:

• 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.
• Prior experience in cognitive services provided by various platforms such as AWS, GCP, Azure, IBM Watson
• Demonstrated experience working with Large Language Models (LLMs), AWS, Azure, or Google cloud infrastructure
• Proficiency with software programming ideally in python, C++, or Java
• 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 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.

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
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.