> Markdown version of [/jobs/ext/3872452-mid-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3872452-mid-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). --- # Mid AI/ML Engineer - **Company:** Weeghman And Briggs - **Location:** Huntsville, AL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Cloud Computing, Information Engineering, Distributed Computing Environment, Fault Tolerance, Python (Programming Language), Graphics Processing Unit (GPU), Delivery Pipeline, Containerization, Machine Learning Operations - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/669face5-05db-4b2d-ae5c-76f9ea17638d/mid-aiml-engineer ## About the Role * Experience supporting government or DoD programs * Ability to work independently and within a collaborative team environment * Strong written and verbal communication skills * Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering * Minimum 8 years of experience with a Bachelor's degree related to the labor category, * Experience supporting MSIC and DIA programs * Agile, cloud, or modernization experience * Background in process improvement or analytical services * Experience with MLOps, GPUs/HPC, containerization, cloud, data engineering, and model deployment ## Description If you're ready to grow your career while supporting important national missions, we'd love to connect with you. *This position supports a newly awarded contract, with work expected to begin in early 2027. * What You'll Do * Support mission-critical programs in secure government environments * Analyze requirements and translate them into actionable solutions * Collaborate with cross-functional teams to deliver high-quality results * Ensure compliance with contract and security standards * Contribute ideas to improve processes, efficiency, and performance * Design robust, fault-tolerant, scalable machine-learning pipelines * Automate training and inference * Scale data-scientist models * Support distributed hyperparameter tuning * Develop production-grade ML code