Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The TS/SCI Machine Learning Engineer role involves developing and deploying predictive maintenance AI solutions for a deep learning SaaS startup serving the Department of Defense.
Responsibilities and impact
The engineer will develop scalable AI software, design data pipelines, optimize performance, troubleshoot applications, collaborate with teams, and create data visualizations.
Compensation and benefits
The position offers a $220k base salary, unlimited PTO, platinum-level medical, dental, and vision coverage, and remote work with occasional travel to secure facilities.
Experience and skills
Candidates need a current TS/SCI clearance, a Computer Science degree, proficiency in Python data science tools, experience with Docker/Kubernetes, full ML lifecycle knowledge, and familiarity with task schedulers and web-app frameworks; experience in cyber analytics or predictive maintenance is preferred.
Work environment and culture
The role supports a remote-first work environment with occasional travel to SCIFs near DC Metro/NOVA, emphasizing flexibility and security.
Company information
The client is a Series C deep learning SaaS startup with over 100 staff focused on AI solutions for defense applications.
Job location and travel
Remote with required travel to SCIFs in the DC Metro/NOVA area.
Unique job features
The job involves working on cutting-edge AI predictive maintenance solutions for the Department of Defense with high security clearance requirements.
Company overview
Certus Recruitment Group is a specialist recruitment firm focusing on sales, marketing, and IT sectors. They generate revenue through placement fees, both for permanent hires and contract staffing solutions. Founded in 2001, the company has grown significantly, establishing a strong reputation for matching high-caliber candidates with leading businesses. Their comprehensive approach includes personalized consulting and a deep understanding of market trends, ensuring successful placements and long-term client relationships.
How to land this job
Tailor your resume to highlight your current TS/SCI clearance, proficiency with Python data science libraries like pandas, NumPy, scikit-learn, and PyTorch, and your experience deploying machine learning models into production using Docker and Kubernetes.
Emphasize your full lifecycle ML engineering skills, including model development, deployment, and managing task schedulers such as Celery, Airflow, or Prefect, along with any experience in Cyber Analytics, Predictive Maintenance, or Supply Chain Optimization.
Apply through multiple channels including Certus Recruitment Group's corporate website, LinkedIn job postings, and other job boards where the position is listed to maximize your application visibility.
Connect on LinkedIn with engineers or recruiters in Certus Recruitment Group's technology and defense divisions, using ice breakers like commenting on recent AI advancements in defense or asking about the team’s approach to scalable AI solutions for the Department of Defense.
Optimize your resume for ATS by incorporating keywords from the job description such as 'TS/SCI Clearance,' 'Python,' 'Docker,' 'Kubernetes,' 'machine learning deployment,' and 'predictive maintenance' to ensure your resume passes initial screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find LinkedIn connections to network with, freeing up your time to focus on interview preparation and skill enhancement.
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