> Markdown version of [/jobs/ext/2171382-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2171382-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). --- # Machine Learning Engineer - **Company:** Capital6, LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Continuous Integration, Data Cleansing, Software Debugging, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Performance Tuning, Tensorflow, SQL Databases, Feature Engineering, Pytorch, Delivery Pipeline, Large Language Models, Apache Spark, Model Validation, Generative AI, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Docker - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/jobad/usc7334f809424223e9ce4de3e65ee3954 ## About the Role * Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related technical field (or equivalent experience) * 3+ years of professional experience in Machine Learning Engineering or AI development * Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn * Experience building, deploying, and maintaining ML models in production * Experience with data preprocessing, feature engineering, and model evaluation * Familiarity with cloud platforms such as AWS, GCP, or Azure * Experience with version control, CI/CD pipelines, and MLOps practices * Strong problem-solving, analytical, and debugging skills * Ability to work effectively in a collaborative, cross-functional environment Preferred Qualifications * Experience with NLP, Computer Vision, LLMs, or Generative AI * Experience with Kubernetes, Docker, and ML deployment pipelines * Knowledge of distributed data processing frameworks such as Spark * Familiarity with SQL and NoSQL databases * Experience with model monitoring and performance optimization ## Description We are seeking a talented and motivated Machine Learning Engineer to join our growing engineering team in New York City. In this role, you will develop, deploy, and optimize machine learning models that power intelligent products and business solutions. You will collaborate closely with software engineers, data scientists, and product managers to build scalable ML systems and production-ready AI applications. This position is ideal for engineers who enjoy solving complex data challenges, deploying ML models at scale, and working on cutting-edge AI technologies., 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 - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) ## 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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)