> Markdown version of [/jobs/ext/1309100-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1309100-ai-ml-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). --- # AI/ML Engineer - **Company:** QTech US, Inc - **Location:** Hartford, CT, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Business Software, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, SQL Databases, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Snowflake, Apache Spark, Model Validation, Git, Pandas, Pyspark, Scikit Learn, Kubernetes, Machine Learning Operations, Restful APIs, Data Pipelines, Docker, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/4c80907a-15d4-45c5-adcb-8436900bef00 ## About the Role 6+ years of AI/ML development experience. Strong Python programming skills. Experience with TensorFlow, PyTorch, Scikit-learn, and Pandas. Hands-on experience with LLMs, OpenAI APIs, Langchain, and RAG. Experience with AWS, Azure, or Google Cloud Platform. SQL, Git, Docker, and REST APIs. Preferred Skills: MLflow or Kubeflow. Apache Spark/PySpark. Vector Databases (Pinecone, ChromaDB, FAISS). Kubernetes. Snowflake or Databricks. Agile/Scrum experience and strong communication skills. ## Description Develop, train, and deploy machine learning models for business applications. Build NLP and computer vision solutions using modern AI frameworks. Implement data pipelines for model training and inference. Perform feature engineering, model evaluation, and optimization. Collaborate with product, engineering, and analytics teams. Document AI solutions and follow MLOps best practices. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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)