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 operational environments. As a senior team member, you'll have the chance to establish best practices and mentor junior engineers while working on complex real-world problems across various government agencies.
The role requires extensive experience in Python development, deep learning frameworks like PyTorch or Tensorflow, and MLOps tools. You'll be working in a collaborative environment with cross-functional teams, including software developers, analysts, and DevOps professionals, to create integrated ML systems that meet high security and performance standards.
This is an excellent opportunity for an experienced ML engineer who wants to make a meaningful impact in the defense sector while working with advanced technologies. The position offers competitive compensation ($116,000-$168,000) and comprehensive benefits, including full medical coverage, ESOP, and 401k contributions.
Key technical requirements include 5+ years of ML solution development experience, expertise in Python applications for large-scale systems, and strong understanding of deep learning approaches. The role requires U.S. citizenship due to the nature of government contracts and security clearance requirements.
The company offers a supportive work environment with opportunities for professional growth, flexible work hours, and a strong focus on work-life balance. If you're passionate about applying ML technologies to solve complex national security challenges and want to work with a team of dedicated professionals, this role at SciTec could be your next career move.