> Markdown version of [/jobs/ext/2243171-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2243171-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:** BURGEON IT SERVICES LLC - **Location:** Pittsburgh, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Azure Machine Learning, SQL Databases, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Spring-boot, Deep Learning, Generative AI, Data Lakes, AngularJS, Scikit Learn, Kubernetes, HuggingFace, Machine Learning Operations, Docker, Databricks, Microservices - **Published:** August 26, 2026 - **Apply:** https://www.dice.com/job-detail/56718ce1-fd13-40dc-874c-67ccaa139d58 ## About the Role Experience: 10+ years overall, with 5+ years of relevant AI/ML experience Must Have: AI/ML, Generative AI, Python, Banking Domain, We are looking for an experienced AI/ML Engineer with strong Python and Banking domain experience to design and develop scalable AI and Generative AI solutions., * Strong experience in AI/ML, Python, SQL, and Banking domain. * Hands-on experience with Machine Learning, Deep Learning, NLP, Time Series Forecasting, and Anomaly Detection. * Experience building Generative AI applications using LLMs, RAG, Prompt Engineering, Fine-tuning, and AI Agents. * Strong knowledge of LangChain, Semantic Kernel, Hugging Face, Scikit-learn, TensorFlow, or PyTorch. * Experience with end-to-end ML pipelines, MLOps, CI/CD, Docker, Kubernetes, and model monitoring. * Knowledge of Spark, Databricks, ETL, Data Lakes, and Data Warehouses. * Experience deploying AI models through APIs and Microservices. * Hands-on experience with Azure ML or AWS SageMaker. * Nice to have: Java Spring Boot and Angular. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [How to Stop Choosing JavaScript Frameworks and Start Living](https://www.wearedevelopers.com/videos/118-how-to-stop-choosing-javascript-frameworks-and-start-living) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Stand alone components in Angular](https://www.wearedevelopers.com/videos/656-stand-alone-components-in-angular) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)