Amazon Machine Learning Consultant NATSEC Proserve 

United States, Kansas 

843826205

You will work closely with talented data scientists and engineers to put algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
Spearhead the the fine-tuning of machine learning pipelines for optimal performance and efficiency, utilizing AWS technologies. Implement automation tools and processes for model deployment, monitoring, and scaling.Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring, leveraging AWS's robust ecosystem, including SageMaker, Container Services, ECS and EKS, and EC2.Experience applying best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.)Aid in the design and develop sophisticated machine learning algorithms and models, enhancing the efficiency, scalability, and reliability of AWS services.A day in the life
Throughout the day you’ll engage in MLOps practices, streamlining the machine learning lifecycle from development to deployment.As you wrap up your day, you’ll document your findings, share insights with the team, and maybe mentor a junior colleague or prepare a presentation on your latest projects.Every day brings new challenges and the chance to innovate at the bleeding edge of cloud computing, AI, and the national security mission.Mentor-ship & Career Growth

- Bachelor's degree in computer science or equivalent.
- 5+ years of non-internship professional software development experience.
- 2+ years of experience building CI/CD pipelines.
- 2+ years of architecting solutions to productize ML models, MLOps, and feedback and training systems.
- Current, active US Government Security Clearance of Top Secret or above.

- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
- Experience working in an Agile environment using the Scrum methodology.
- Experience with CI/CD pipelines build processes.
- Experience in automating, deploying, and supporting large-scale infrastructure.
- Experience building services using AWS products.
- Experience utilizing AWS cloud solutions in a DevOps environment.