> Markdown version of [/jobs/ext/2642789-lead-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2642789-lead-machine-learning-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). --- # Lead Machine Learning Engineer - **Company:** NITYA Software Solutions, Inc. - **Location:** Fort Lauderdale, FL, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Scikit Learn, Machine Learning Operations, Databricks - **Published:** August 26, 2026 - **Apply:** https://www.dice.com/job-detail/16513b90-0aee-4acc-b893-ad8638984791 ## About the Role * They are seeking an experienced Lead Machine Learning Engineer to lead the development and operationalization of machine learning solutions that power Customer 360, recommendation engines, customer intelligence, personalization, and next-generation AI experiences. * The ideal candidate has successfully built recommendation engines, customer prediction models, and AI-driven solutions in highly scalable customer-centric environments. * 8+ years of Machine Learning Engineering or Applied AI experience. * 3+ years in a Lead, Principal, or Senior Technical Leadership role. * Proven experience delivering production-grade machine learning systems. * Strong expertise with: Databricks, Mlflow, Python, Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn), Real-time inference architectures * Experience building: Recommendation systems, Personalization engines, Predictive analytics solutions, and Customer intelligence platforms * Pluses: + Customer 360 implementation experience. + Identity Graph experience. + Hospitality, Gaming, Entertainment, Retail, Loyalty, or Consumer Digital experience. ## Related Videos - [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) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [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) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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)