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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Machine Learning Engineering Senior - **Company:** Lockheed Martins - **Location:** Orlando, FL, United States - **Experience:** Expert - **Salary:** $122,600.0 - $227,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Continuous Delivery, Continuous Integration, Software Debugging, Human-Computer Interaction, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, OpenShift, Systems Development Life Cycle, Requirements Management, Server Administration, Software Engineering, SPARQL, Scripting, Google Cloud, Feature Engineering, Large Language Models, Deep Learning, Software Troubleshooting, Generative AI, Git, Containerization, Integration Tests, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Restful APIs, GPT, Software Version Control, Data Pipelines, Docker - **Published:** September 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/a-ai-machine-learning-engineering-senior-orlando-fl--9d980d47-23af-401d-822c-b3f3d03f2662 ## 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. * Demonstrated success with 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. * Understanding of RESTful APIs and ability to integrate them into data pipelines. 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). * Basic familiarity with Docker (or comparable container technology)., Algorithms, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Change Management, Cloud Computing, Communication Skills, Computer Science, Computer Vision, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Customer Acquisition, Customer/Client Research, Data Analysis, Data Management, Data Science, Debugging Skills, Deep Learning, Docker, Documentation, Documentation Design, Emerging Technology, GCP (Good Clinical Practices), Human Machine Interface (HMI), Information Technology & Information Systems, Integration Testing, Machine Learning, Microsoft Windows Azure, Modeling Languages, Natural Language Processing (NLP), Ontology, Performance Metrics, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, REST (Representational State Transfer), Requirements Management, SPARQL, Software Administration, Software Design, Software Development, Software Development Lifecycle (SDLC), Technical ## Description * Translate business problems into AI-driven solution architectures. * Build, fine-tune, and integrate LLMs and complementary AI models into new and existing RMS applications. * Create test plans, conduct integration testing, and deploy solutions using CI/CD pipelines. * Document designs and collaborate with change management to ensure smooth user adoption. * Monitor deployed solutions and drive continuous improvement to keep pace with evolving business needs. By delivering robust, production-grade AI pipelines and intuitive interfaces, you will enhance efficiency across RMS functions and empower teams to better support Lockheed Martin's customers. Standard Job Description For A/AI Machine Learning Engineering Senior Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces ## Related Videos - [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) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) ## 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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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