Generative AI Engineer – Senior

The Opportunity: 

As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains. As an ML engineer, you’ll build pipelines to train, test, deploy, and maintain models that learn from data.  

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world class solutions to real world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define ML strategy for our company and our clients.  

Join us. The world can’t wait. 

You Have:  

• 5+ years of experience with artificial intelligence, data science, ML engineering, data research, or data analytics

• Experience leading technical teams and project management

• Experience with client management and strategic consulting

• Experience with Generative AI, including transformers or LLM project work

• Experience with Huggingface, LangChain, or AutoGPT

• Experience with software engineering and artificial intelligence projects

• Experience with a programming language, including Python, Scala, or Java

• Experience with project work in deep learning, computer vision, NLP, or signal processing

• Secret clearance

• Bachelor's degree

Nice If You Have:  

• Experience with LLMOps, DevOps, or MLOps

• Experience with modern Cloud containerization computing technologies, including Docker or Kubernetes

• Experience with embedded systems programming in C, C++, or Rust

• Experience with GPU programming, including CUDA or RAPIDs

• Knowledge of modern software design patterns, including microservice design or edge computing

• Ability to gather requirements from customers and lead Agile teams

• Master's degree in Computer Science or Statistics

Clearance:  

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.