> Markdown version of [/jobs/ext/2249325-lead-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2249325-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:** Connvertex Technologies Inc. - **Location:** Sunrise, FL, United States - **Experience:** Expert - **Salary:** $128,960.0 - **Contract:** Permanent contract - **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.careerjet.com/jobad/us0134809f2bf2c26a0dcf66cbdee8bdf8 ## About the Role 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) - [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) - [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) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)