> Markdown version of [/jobs/ext/41026-decision-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/41026-decision-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Decision Intelligence Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Louisville, KY, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Linear Programming, Tensorflow, Reinforcement Learning, Deep Learning, Information Technology, Markov, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=932da917f47848b2 ## About the Role 3+ years building and deploying enterprise scale decision systems. Hands-on experience with implementing policy gradient methods (PPO, A3C), value-based approaches (DQN, Q-learning) and off-policy algorithms. Deep familiarity with the Bellman equation, reward shaping, exploration-exploitation tradeoff, constraint mapping and knowing common failure points of real-world reinforcement learning systems. Ability to diagnose issues with policy learning and collapse, credit assignment issues, and distributional shifts affecting performance of the model., Deep learning frameworks (tensorflow, pytorch), linear programming, Markov decision processes, Actor-Critic methods, Offline RL methods (CQL, Decision Transformer), probabilistic modeling, databricks, Ray RLLib, Gymnasium, PettingZoo (MARL)., Qualifications : BACHELOR OF COMPUTER SCIENCE You must create an Indeed account before continuing to the company website to apply ## Related Videos - [Augmented Intelligence for transport planning: Human in the Loop Modelling](https://www.wearedevelopers.com/videos/72-augmented-intelligence-for-transport-planning-human-in-the-loop-modelling) - [Rules, Heuristics, or LLMs? Lessons from Solving the Same Problem Twice](https://www.wearedevelopers.com/videos/100112-rules-heuristics-or-llms-lessons-from-solving-the-same-problem-twice) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization](https://www.wearedevelopers.com/videos/205-on-the-straight-and-narrow-path-how-to-get-cars-to-drive-themselves-using-reinforcement-learning-and-trajectory-optimization) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)