ML Engineer (Secret)

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
This position is in support of ML engineering executing the following tasks. The general scope of the contract is to develop an AI-enabled data management software solution that is scalable modular and flexible enough to meet SOF mission requirements in a wide range of environments. The solution will have the ability to ingest store analyze and disseminate information from reconnaissance surveillance and target acquisition (RSTA) assets robotic systems space-based platforms and AI/ML-generated data. In this role you will help solve real world problems and challenges faced by military personnel analysts medical researchers IRS agents and other federal customers.

Required Technical and Professional Expertise

• Demonstrated expertise in machine learning best practices and theory
• Proficiency in Python and Javascript (2+ years)
• Experience tuning and prompt engineering large language models (2+ Years) in multi-step programs (e.g. RAG multi-hop RAG)
• Working knowledge of machine learning frameworks such as pytorch tensorflow ONNX and TensorRT (8+ Years)
• Proficiency in working with linux-based systems (8+ Years)

Preferred Technical and Professional Expertise

• Experience with LLM training tuning quantization and inference on low size weight and power compute architectures (2+ Years)
• Experience working with US Special Operations Command United States Marine Forces Special Operations Command or other Special Operations Forces components
• Experience working with and developing APIs for microservices