MLOps Engineer (MLOps, Python / Contract / Hybrid / Arlington, VA)
arlington, Virginia
Hybrid
Contract
$70/hr - $75/hr
A Business Analytics and Decision Support team is looking for an MLOps Engineer. This is a full-time, hybrid, contract position located in Arlington, VA. This role is for 11-months with the intention to hire.
They are looking for an MLOps Engineer to join the team and work within a group that deals with Flow Optimization specific to different Amazon warehouses and looks at labor metrics. Good candidates for this position will have experience working with Python and understand working with AWS, and any deployment work or at least understanding of CI/CD pipelines is a big plus.
As an MLOps Engineer within our BADS team, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, natural language processing, computer vision), technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Required Skills & Experience
They are looking for an MLOps Engineer to join the team and work within a group that deals with Flow Optimization specific to different Amazon warehouses and looks at labor metrics. Good candidates for this position will have experience working with Python and understand working with AWS, and any deployment work or at least understanding of CI/CD pipelines is a big plus.
As an MLOps Engineer within our BADS team, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, natural language processing, computer vision), technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Required Skills & Experience
- AWS development experience/build within AWS products.
- Extensive experience coding/scripting in Python
- Bachelors in programming or similar (statistics, mathematical degrees on top of that would be a plus)
- Minimum 5 years of ML experience
- Familiarity with Tensorflow and the statistics scripting language R.
- Own the development and operationalization of solutions deployed in production.
- Work across multiple teams to integrate our solutions with products owned by our partners.
- Design model experimentation processes and frameworks in synergy with our scientists.
- Help the team grow and cultivate best practices in software development, MLOps, and experimentation.
- Model training, data pre-processing,
- Ongoing support of model and lifestyle.
- Medical, dental, and vision coverage
- Paid Time Off (PTO) and Holidays
- 401(k) Matching
You will receive the following benefits:
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance
- 401(k) including match with pre and post-tax options
- Paid Sick Time Leave
- Legal and Identity Protection Plans
- Pre-tax Commuter Benefit
- 529 College Saver Plan
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.