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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer- Early Career - **Company:** Lockheed Martin - **Location:** Sunnyvale, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $84,200.0 - $145,935.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Language Modeling, OpenShift, SPARQL, Unstructured Data, Google Cloud, Feature Engineering, Large Language Models, Deep Learning, Generative AI, Git, Containerization, Semi-structured Data, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, GPT, Software Version Control, Data Pipelines, Docker - **Published:** May 14, 2026 - **Apply:** https://www.lockheedmartinjobs.com/job/puerto-rico/ai-ml-engineer-early-career/694/95046915936 ## About the Role Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related discipline. -Proficiency in Python - write clean, well-documented code and explain your logic. -Knowledge of the data-science lifecycle, big-data concepts, deep-learning fundamentals, and reinforcement-learning ideas. -Basic awareness of Generative AI capabilities such as large-language models (LLMs) -Demonstrated initiative and research mindset - comfortable navigating documentation, exploring new tools, and proposing ideas with minimal supervision. -Strong problem-solving and communication skills; able to work with internal customers to gather requirements and provide clear status updates. -Must be a US Citizen Desired Skills: Experience with LLM frameworks or APIs (e.g., LangChain, OpenAI, Cohere). Exposure to MLOps fundamentals: CI/CD pipelines, model versioning, monitoring, Docker/Kubernetes. Knowledge-graph or ontology work (SPARQL, embeddings, graph-based feature engineering). Familiarity with cloud platforms (AWS, Azure, GCP) and OpenShift. Ability to quickly absorb new tools, applications, or approaches from documentation or public repositories and contribute ideas to the team. Research-oriented mindset - conducting industry/academic research, networking with peers, and surfacing innovative strategies. Breadth of interest or experience with diverse data-application domains (structured, unstructured, time-series, sensor, etc.). Experience with Git fundamentals (branching, merging, pull-requests, basic workflow conventions). Understanding of RESTful APIs and ability to integrate them into data pipelines. Basic familiarity with Docker (or comparable container technology)., Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. ## Description The Lockheed Martin Data & AI Enablement - Advanced Solutions team supporting Rotary & Mission Systems (RMS) is responsible for developing strategies and implementing integrated, cross-functional solutions that transform operations through data-based decisions that deliver business-based outcomes. Our AI team is at the forefront of the digital transformation, building artificial-intelligence and machine-learning solutions that drive tangible business improvements. An RMS AI/ML Engineer (Level 1) will be a hands-on practitioner tasked with conducting experiments, building solutions, and partnering with stakeholders and analysts to identify new opportunities utilizing large sets of structured and unstructured data. The role will apply advanced technologies and scientific principles to uncover meaningful patterns in ambiguous problem spaces, model complex business challenges, and deliver actionable insights. The Lockheed Martin Data & AI Enablement - Advanced Solutions team supporting Rotary & Mission Systems (RMS) is responsible for developing strategies and implementing integrated, cross-functional solutions that transform operations through data-based decisions that deliver business-based outcomes. Our AI team is at the forefront of the digital transformation, building artificial-intelligence and machine-learning solutions that drive tangible business improvements. An AI/ML Engineer will be a hands-on practitioner tasked with conducting experiments, building production-grade solutions, and partnering with stakeholders and analysts to identify high-impact opportunities within large structured and unstructured data sets. The role applies and/or develops advanced technologies, scientific principles, and AI techniques to model complex business problems, discover insights, and provide actionable recommendations while guiding the team's technical direction. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [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) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) ## 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) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)