Senior Machine Learning Engineer

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Job details
Apply modern ML solutions to large scale government software systems to improve efficiency
This Jobot Job is hosted by Charles Simmons
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Salary $140,000 - $170,000 per year
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)
Job Details
Job Details
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.
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 designs 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
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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.
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Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting and Software Development Referrals increase your chances of interviewing at Jobot by 2x Get notified about new Senior Machine Learning Engineer jobs in Durham, NC . Raleigh, NC $140,000.00-$170,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Location:
Durham, NC, United States
Job Type:
FullTime
Category:
IT & Technology

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