The company is looking to develop Machine Learning models that are integral to a larger pipeline delivering value to their end customers.
Requirements
- Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred)
- Experience with Kubernetes and Docker
- Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series
- Experience building and maintaining machine learning pipelines
- Experience in using data processing frameworks (Apache Spark preferred)
- Practical programming and scripting skills (Python preferred)
- Experience with TypeScript (highly preferred)
Responsibilities
- Develop Machine Learning models
- Design, train, and deploy Machine Learning models
- Build and maintain machine learning pipelines
- Work with data processing frameworks
- Collaborate with a cross-functional data team
- Develop and deploy models using Kubernetes and Docker
- Work with various ML subfields, especially NLP, CV, and Time Series
Other
- 3-5 years of relevant hands-on experience
- Fast learner, analytical thinker, creative, hands-on, strong communication skills
- Able to work both independently and as part of a team
- Excellent problem-solving skills and attention to detail
- Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
- Obtain Security+ within the first 90 days of employment with Raft
- Active TS/SCI with CI Polygraph
- U.S. citizenship required
- Onsite in DC Metro area, may require up to 10% travel
