> Markdown version of [/jobs/ext/2164025-lead-machine-learning-engineer-recommendation-systems](https://www.wearedevelopers.com/jobs/ext/2164025-lead-machine-learning-engineer-recommendation-systems). 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 (Recommendation Systems) - **Company:** Conch Technologies - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Amazon Web Services, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Scikit Learn, Kubernetes, Machine Learning Operations, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/jobad/usa6ae1ca059afbc295175a5d44ea90734 ## About the Role * Must have experience building and deploying production-grade ML systems. * Strong hands-on experience with Databricks, MLflow, Python,TensorFlow/PyTorch/Scikit-learn. * Experience supporting real-time inference and model serving. * Built recommendation systems in hospitality, gaming, loyalty, retail, eCommerce, travel, entertainment, streaming, or consumer-facing organizations. * Experience with Customer 360, customer segmentation, loyalty programs, propensity models, customer lifetime value ## Description Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agi… + 2 days ago ## 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) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)