> Markdown version of [/jobs/ext/1821370-senior-data-scientist-machine-learning-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1821370-senior-data-scientist-machine-learning-ai-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). --- # Senior Data Scientist / Machine Learning / AI Engineer - **Company:** Intellias, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Computer Vision, Microsoft Azure, Code Review, Computer Programming, Python (Programming Language), Machine Learning, Search Technologies, Software Configuration Management, Software Construction, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Data Analytics, Machine Learning Operations, Restful APIs, Software Version Control, Docker, Microservices - **Published:** July 31, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p8wfkvym3x ## About the Role * Senior-level experience in Data Science, Machine Learning and AI engineering. * Strong programming skills in Python * Strong understanding of Large Language Models (LLMs), including architectures, capabilities, limitations and practical use cases. * Experience working with embedding models and semantic search techniques. * Hands-on experience designing and building Retrieval-Augmented Generation (RAG) applications. * Knowledge of prompt engineering and LLM orchestration frameworks (e.g. LangChain or similar tools). * Experience integrating LLMs through APIs and deploying AI-powered applications. * Understanding of AI evaluation methodologies, including LLM performance evaluation and monitoring. * Experience with Azure cloud services, particularly services relevant to AI and data workloads. * Practical experience with Azure DevOps, including CI/CD pipelines and repository management. * Experience containerising applications using Docker. * Experience deploying and managing containerised workloads with Kubernetes. * Familiarity with MLOps best practices, including model versioning, deployment and monitoring. * Experience building and maintaining scalable and production-ready ML/AI systems. * Knowledge of REST APIs and microservice architectures. * Understanding of software engineering best practices, including testing, code reviews and clean code principles. * Strong problem-solving and communication skills, with the ability to collaborate effectively with cross-functional teams. ## Description Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as machine Learning Engineer What you will do * Drive/Participate the ideation, development, and execution of POCs and AI related project * Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems * Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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 And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)