AI Developer

Roles & Responsibilities Generative AI & Machine Learning Leadership

• Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems.

• Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows.

• Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability.

• Translate business requirements into AI driven solutions with measurable outcomes.

Machine Learning & Advanced Analytics

• Build, train, tune, and deploy machine learning models, including:

o Neural Networks o Decision Trees o SVMs o NLP models o Reinforcement Learning systems o Ensemble techniques

• Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems.

• Ensure model robustness, explainability, and performance across production environments.

Software Engineering & Development

• Develop high quality, scalable solutions using Python, with strong use of Java, SQL, Bash, and JavaScript (D3.js) as required.

• Design and implement RESTful APIs and microservices to expose AI/ML capabilities.

Do you have experience in Web services design?, Do you have a Bachelor’s degree?, Must Have Technical/Functional Skills

• Strong knowledge and deep experience of Python and Toolchains, Java, SQL, JavaScript (D3.js), Bash

• Experienced in and strong knowledge of using Gen AI, AI/ML and more particularly LLMs eager to apply this rapidly changing Technology

• Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP

• Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI

• Knowledge of advanced statistical/machine learning techniques, Algorithms, Concepts and Experience in the Applications

• Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib

• Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)

• Strong Distributed Systems Skills and Knowledge

• Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir

• Solid understanding of REST-ful Design

• Experience with Kubernetes, Qualifications : BACHELOR OF COMPUTER SCIENCE

(part of Tata group) 3.93.9 out of 5 stars McKinney, TX $100,000 - $130,000 a year