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Machine Learning Engineer

extra parental leave
Remote: 
Full Remote
Salary: 
118 - 120K yearly
Experience: 
Senior (5-10 years)
Work from: 
Arizona (USA), United States

Offer summary

Qualifications:

Bachelor’s Degree in relevant field, 7 years of technical experience, Proficiency in ML frameworks like TensorFlow and PyTorch, Strong programming skills in Python, R, or Bash.

Key responsabilities:

  • Develop, train, test, and deploy ML models
  • Collaborate with AI team to execute projects
Criterion Systems logo
Criterion Systems SME https://criterion-sys.com/
201 - 500 Employees
See more Criterion Systems offers

Job description

Overview:

At Criterion Systems, we developed a different kind of business—a company whose real value is a reputation for excellence built upon the collective skills, talents, perspectives, and backgrounds of its people. By accepting a position with Criterion Systems, you will join a group of professionals with a collaborative mindset where we share ideas and foster professional development to accomplish our goals. In addition to our great culture, we also offer competitive compensation and benefit packages, company-sponsored team building events, and advancement opportunities. To find out more about how Criterion can help you take your career to the next level please visit our website: www.criterion-sys.com. Criterion Systems is a Military/Veteran Friendly Company therefore we encourage Veterans to apply.

 

Responsibilities:

We are seeking a Senior Machine Learning Engineer to provide support for the Department of Labor.   

This role is 100% remote and can work anywhere in the Continental United States.

 

As a Machine Learning (ML) Engineer you will join the team supporting the mission of the Officer of the Chief Information Officer for a Federal government agency. In collaboration with the Program Technical Lead and Artificial Intelligence (AI) team, the candidate will execute projects under the direction of the customer’s AI division leadership. The candidate will provide expertise to perform end-to-end development plus explore innovative applications and techniques in natural language processing, applied ML, and explainable plus privacy-aware Responsible AI/ML

 

Duties, Tasks & Responsibilities

  • Develop, train, test, and deploy ML models to production with robust monitoring and logging
  • Study and transform data science prototypes, select suitable data sets, and conduct data collection and modeling
  • Perform statistical analysis and tune hyper-parameters to enhance model performance
  • Automate work-flows for data collection, model training, and deployment
  • Implement continuous integration/continuous deployment (CI/CD) pipelines for ML projects
  • Monitor models in production and optimize performance over time
  • Work with data scientists to transition models from development to production
  • Document processes and provide knowledge transfer to other team members or teams
  • Evaluate and apply new tools and technologies to enhance ML operations (MLOps) practices
  • Collaborate with cross-functional engineering and operations teams to deliver solutions
Qualifications:

Required Experience, Education, Skills & Technologies:

 

  • Experience in developing and deploying ML models at scale
  • Proficiency with ML frameworks such as TensorFlow, PyTorch, or similar
  • Experience implementing MLOps principles, including version control and CI/CD
  • Familiarity with infrastructure automation tools (e.g., Docker, Kubernetes)
  • Experience with cloud services implementing APIs for model deployment (e.g., AWS SageMaker, Azure ML)
  • Strong programming skills in Python, R, Bash, and/or other related languages for automation
  • Ability to clearly communicate/present technical issues and status to customers
  • Ability to create project documentation (e.g., SOP) and user guidance
  • Proficient with Microsoft Office 365 applications, specifically Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint
  • Experience working in an agile environment, coordinating across multiple teams
  • Ability to execute in a remote work environment
  • Experience with Federal government customers preferred

 

Preferred Experience, Education, Skills & Technologies

  • AWS Certified Solutions Architect (Highly Desired)
  • Microsoft Certified Azure Solutions Architect Expert (Highly Desired)
  • Google Cloud Professional Cloud Architect
  • 7 years of technical experience and a Bachelor’s Degree in Computer Science, Information Management (IM), Information Technology, Engineering, or equivalent; IT Solutions management experience preferred.

Clearance:

  • Public Trust
  • Must be US Citizen

Certification

  • N/A

Work Schedule

  • Full-time, remote

Benefits Offered

  • Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Tuition/Training Assistance, Parental Leave, Paid Time Off, and Holidays.

Pay Rate 

  • The projected compensation range for this position is $118,000 - $120,000. Please note that the salary information is a general guideline only. Criterion Systems considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

 

Criterion Systems, LLC and its subsidiaries are committed to equal employment opportunity and non-discrimination at all levels of our organization. We believe in treating all applicants and employees fairly and make employment decisions without regard to any individual’s protected status:  race, ethnicity, color, national origin, ancestry, religion, creed, sex/gender, gender identity/gender expression, sexual orientation, physical and mental disability, marital/parental status, pregnancy (including childbirth, lactation, and related medical conditions), age, genetic information (including characteristics and testing), military and veteran status, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit https://careers-criterion-sys.icims.com/.

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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