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Job description
Base pay range
$140,000.00/yr - $170,000.00/yr
Overview
We are seeking a passionate and talented Senior Machine Learning Engineer to join our innovative tech services team. The ideal candidate will be a key player in shaping the direction and execution of our company's machine learning initiatives. You will be working with a team of data scientists, engineers, and product managers to develop and implement machine learning models that will drive business growth and enhance user experience.
A Bit About Us
DC based government consulting prime working on enterprise modernization of production systems to implement modern machine learning technologies to major production systems starting with proof of concept work through implementation at scale over the next 2-5 years.
Why join us?
Remote Work
Competitive Compensation Package
Medical, Dental, and Vision
Life Insurance, Short/Long Term Disability
Employee Assistance Program
401(k) with 4% matching
Liberal PTO vacation policy
Generous Annual Continuing Education
Annual Wellness Budget
Bonus Incentive Programs (Employee referrals and performance-based rewards)
Responsibilities
Lead evaluation of new or emerging technologies through prototypes and proofs of concept
Analyze and clearly communicate the benefits and risks of adopting new technologies
Serve as a hands-on technical lead across development, operations, and security in cloud environments
Guide enterprise-wide adoption of modern tools, cloud platforms, and AI/ML solutions
Provide technical leadership and mentorship to junior IT specialists and engineers
Balance hands-on engineering with strategic architectural planning and system design
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Ability to obtain US Government security clearance
8+ years of professional experience in software engineering or IT
Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
Experience deploying, tuning, and maintaining ML models in production (MLOps)
Experience with Amazon SageMaker
Experience with cloud platforms (AWS, Google Cloud, or Azure); deep AWS experience strongly preferred
Strong DevOps skills CI/CD pipelines, infrastructure as code (CDK or Terraform), automation, and monitoring
Full-stack development experience
Frontend React, TypeScript
Backend Python, Pandas, Scikit-learn
Data PostgreSQL, S3
Infrastructure as Code Terraform or AWS CDK
Strong system architecture skills designed for secure, scalable systems with attention to both detail and big-picture strategy
Excellent communication and problem-solving skills
Ability to quickly learn and adapt to new projects and technologies
Benefits
Remote Work
Competitive Compensation Package
Medical, Dental, and Vision
Life Insurance, Short/Long Term Disability
Employee Assistance Program
401(k) with 4% matching
Liberal PTO vacation policy
Generous Annual Continuing Education
Annual Wellness Budget
Bonus Incentive Programs (Employee referrals and performance-based rewards)
Equal Opportunity
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment 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.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Software Development
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Worksite address
workfromhome, MD, 21276, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.