SciTec, a dynamic small business focused on national security and defense, is seeking a Senior Machine Learning Engineer to join their Future Systems team. This role presents an exciting opportunity to shape and lead MLOps initiatives while working on critical government contracts.
The position involves designing and implementing cutting-edge machine learning solutions, with a focus on developing robust ML pipelines and models for simulation environments. As a senior team member, you'll play a crucial role in establishing ML best practices and mentoring junior engineers, while working closely with cross-functional teams including Software Developers, Analysts, and DevOps.
The ideal candidate brings 5+ years of ML experience and strong expertise in Python development for large-scale systems. Knowledge of modern ML frameworks like PyTorch or Tensorflow is essential, along with experience in MLOps tools and practices. The role requires U.S. citizenship due to the nature of government contracts and security clearance requirements.
SciTec offers an attractive compensation package ranging from $107,000 to $156,000 annually, complemented by comprehensive benefits including 100% company-paid medical insurance, ESOP participation, and 401(k) contributions. The position is based in Huntsville, Alabama, offering the opportunity to work on meaningful projects that directly impact national security while being part of a collaborative and innovative team environment.
This role is perfect for a seasoned ML professional who wants to make a significant impact in the defense sector while working with advanced technologies and leading-edge ML applications. The position offers both technical challenges and leadership opportunities, making it an excellent choice for career growth in the intersection of machine learning and national security.