Connecting Odds
Rapinno Tech

Sr. Machine Learning Engineer

Rapinno Tech
United StatesPosted 8 days agoDiscoveredMatch locked
RemoteContractor8+ years expData Science

Job Title: Sr. Machine Learning Engineer

Location: 100% Remote

What you get to do in this role

  • Analyze data to gather insights
  • Train/test/deploy/maintain complex ML models at scale
  • Build ML/AI enabled application on the ServiceNow platform
  • Integrate ML/AI capabilities into the ServiceNow platform
  • Help evolve the MLOps process our team follows
  • Write web components with APIs that developers love to use. Youll take the time to create code that is easy to understand and maintain across the team.
  • Architect, design and build end to end proof of concept and prototype of products and solution

Qualifications

In order to be successful in this role, we need someone who has

Strong data analysis skills

  • Strong knowledge of Python and its ecosystem of data science libraries
  • Proven experience implementing machine learning and deep learning solutions
  • Strong understanding of MLOps process, preferably using Azure ML service
  • Ability to learn ServiceNow platform and new technologies quickly and demonstrate a hands-on understanding
  • Strong understanding of design patterns, integration patterns/practice, data modeling principles, and best practices
  • A good track record of project delivery for large cross-team projects
  • Exceptional debugging, testing, and problem-solving skills
  • Master's degree in Computer Science or a related discipline

Originally posted on Himalayas

Not included in the source posting: about the role, what you'll do, benefits.

Skills

machine-learningartificial-intelligenceazurepythonmlopsdeep-learning

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.