Machine Learning Engineer/MLOps (11-Month Contract)
Arlington, Virginia
Hybrid
Contract
$70/hr - $78/hr
A Virginia-based ecommerce company is looking for a Machine Learning and MLOps Engineer to join their team, working hybrid out of Arlington, Virginia. Ideal candidates for this role will have 5-7 years of professional experience and understand deploying Machine Learning models into production environments. A background in either software development (preferably working with Python or Java) and areas of DevOps and deployment are also nice-to-haves. This position will be structured as an 11-month contract-to-hire position. Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
- 5-7 years of experience
- Python, AWS, Machine Learning
- Experience with Docker or Kubernetes
- A degree in Computer Science
- Competitive Hourly Rate
- Full-Health Benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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.