Experienced AI/ML Systems Engineer

Position Overview: 
Red Arch Solutions is hiring an Experienced Systems Engineer to join a priority program in Annapolis Junction, Maryland. The ideal candidate will have high-level knowledge of the AI lifecycle and general experience with ML pipeline development, model deployment, and DevOps/MLOps.

 
Labor Category Description:

• Applies systems engineering principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Retirement. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Communicates with other program personnel, government overseers, and senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC15288:
  • Technical Process Area - Stakeholder Requirements Definition, Requirements Analysis, Architectural Design, Implementation, Integration, Verification, Transition, Validation, Operation, Maintenance, and Disposal.
  • Project Process Area - Project Planning, Project Assessment and Control, Decision Management, Risk Management, Configuration Management, Information Management, and Measurement.
  • Enterprise (Organizational Project-Enabling) Process Area - Project Portfolio Management, Infrastructure Management, Lifecycle Model Management, Human Resource Management, and Quality Management.
  • Agreement Process Area - Acquisition and Supply.

• Active TS/SCI with Polygraph
• A High School Diploma or GED plus fourteen (14) years of general system engineering experience.
  OR
  A Bachelor’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus ten (10) years of systems engineering experience.
  OR
  A Master’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus eight (8) years of systems engineering experience.
  OR
  A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus eight (8) years of systems engineering experience.

Desired Skills:

• Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS
• AI/ML system design and implementation
• High-level understanding of the AI lifecycle (development, training, inference, monitoring)
• Experience with ML pipeline development, model deployment, and DevOps/MLOps
• Experience with Amazon SageMaker is a plus
• Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
• System security and networking (particularly the implementation of system security on classified systems)
• Data engineering and data lifecycle management
• Salary range for this position: $155,000-164,000 #CJ 

The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

Red Arch Solutions Benefits Snapshot:

• 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.


• HaloScripts Concierge prescription medication service


• Generous PTO.


• 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.


• Annualized bonus compensation.


• Spot bonuses for hard work.


• Tuition reimbursement.


• 529 College Saving Plan.


• College Loan Pay Back Program.


• 11 Paid Federal Holidays


• Generous Referral Bonuses.

Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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