> Markdown version of [/jobs/ext/1732961-machine-learning-engineer-ii](https://www.wearedevelopers.com/jobs/ext/1732961-machine-learning-engineer-ii). 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 II - **Company:** EUROFINS - **Location:** Saint Charles, MO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Bioinformatics, Software Quality, Code Review, Encodings, Computer Programming, Databases, Data Governance, Data Visualization, Human-Computer Interaction, Information Retrieval, Python (Programming Language), Machine Learning, TypeScript, Unstructured Data, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Fastapi, Containerization, Kubernetes, Information Technology, Data Analytics, Streamlit Framework, GPT, Docker - **Published:** July 16, 2026 - **Apply:** https://jobs.smartrecruiters.com/Eurofins/744000138205109-machine-learning-engineer-ii ## About the Role * Degree in computer science, data science, computational chemistry, bioinformatics or related field. * At least 2 years of experience in building and deploying production ready AI-enabled research applications and workflows. * At least 2 years programing experience in Python, TypeScript, and full stack application development (Python, FastAPI, React, Streamlit). * Consolidated knowledge on prompt engineering, context engineering LLM frameworks, agentic frameworks, APIs and libraries. * Extensive knowledge and experience using chemical and bioinformatics libraries preferably in a drug discovery environment. * In depth knowledge of relevant public and proprietary databases, methods and tools. * Skilled with relational, non-relational, big data and big data analytics databases. * Deep knowledge of math, probability, statistics and algorithms. * Ph.D. in Cheminformatics, Bioinformatics or related discipline; * Experience with Azure, AWS cloud infrastructure and services. * Experience in containerization, orchestration and workflow automation tools such as Docker, Kubernetes and Nextflow. * Experience in finetuning and training LLM models. * Experience in developing computer vision models using PyTorch. * Ability to work in the U.S. indefinitely without sponsorship ## Description Come join our growing team! Eurofins Discovery is highly motivated to apply AI enabled applications, data visualization, cheminformatics, bioinformatics and other data-driven approaches within drug discovery & development at every level of the organization. Given the expanding scope of the Research Informatics group's operations, the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal and be a champion of promoting computational sciences as an integral part of our business. Research Informatics at Eurofins Discovery plays a fundamental role in advancing understanding of drug discovery data, enabling decision making and driving operational efficiency and supporting commercial initiatives across the organization. You will be working closely with our scientists to develop innovative approaches that help drive projects and identify solutions for our clients. Here's what you'll do: * Represent Informatics as the subject matter expert in cross-functional initiatives, collaborating closely with scientists, data teams and technical stakeholders. * Identify and deliver solutions where computational and AI-driven approaches can improve efficiency, decision making, and knowledge utilization across complex workflows. * Design, develop and deploy production-ready AI-enabled applications that integrate structured and unstructured data for scalable use. * Build and implement retrieval-augmented systems (RAG), semantic search frameworks, and embedding-based data workflows to enable intelligent information retrieval. * Develop conversational AI interfaces and agentic architectures that automate knowledge-intensive tasks and support user interaction with complex datasets. * Research, design and develop machine learning algorithms, tools and systems; * Write structured, tested, readable and maintainable code, as well as participate in code reviews to ensure code quality and distribute knowledge for existing and new tools that allow us to extract, analyze, visualize and produce valued added insights of data for our customers; * Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of candidates; * Perform statistical analysis and fin-tuning using test results; * Be actively involved in digital transformation projects and data governance objectives working closely with IT and scientific teams; * Ensure proper documentation of workflows, reports, tools, and analyses of the Research Informatics' team; * Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Technology Sciences leadership; * Ensure project activities align with Eurofins policies, procedures and methodologies ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)