ML Ops Engineer

Industry: Finance
Remote
Company size: 251-10K
Full-time/Part-time
salary
Not disclosed

Apply as ML Ops Engineer

Check out the best jobs for August 2022here

Job description

A US-based company providing real estate investors with capital to fund deals, loans, and mortgage financing solutions is looking for an ML Ops Engineer. The selected candidate will be responsible for building, testing, and validating ML pipelines that deliver actionable insights. The company is leveraging the power of technology to provide innovative financing solutions that will revolutionize the real estate sector. This is an exciting opportunity for developers who enjoy working in a fast-paced environment while applying their problem-solving and analytical skills. 

 

Job Responsibilities:

  • Build, test, and validate ML pipelines that deliver actionable insights
  • Work with various teams to explore different software tools and processes
  • Create new products that significantly increase the value of the team 
  • Build scalable processes for large-scale data science models
  • Develop ML Ops capabilities using open source and commercially available tools
  • Follow engineering best practices that reduce the time to publish and improve model tracking in production
  • Define and build an experimentation framework to facilitate strategies both for model experimentation and A/B testing
  • Work on CI/CD pipelines that will impact the ML models
  • Collaborate with data scientists/product owners and deploy ML models from development to production
  • Communicate technical and business risks to relevant stakeholders 
  • Adapt to changing business needs and new information by pivoting your team to achieve promising initiatives
  • Develop strong awareness of the organizational health
  • Diagnose, troubleshoot, and make recommendations to solve complex issues on the platform 

 Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a software engineer
  • At least 2+ years of MLOps experience
  • Demonstrated ability to ship complex, large-scale ML systems with high availability 
  • Extensive experience in developing ML code in Python using various open-source libraries
  • Prolific experience with ML systems such as AWS SageMarker, Databricks, etc.
  • Experience with design data flow, including ML-specific tasks such as feature generation, feature store, Model Observability, Experimentation, Model serving, etc.
  • Nice to have experience with building CI/CD pipelines for ML models
  • Prior experience working with Docker and Linux (preferably in Kubernetes) is a plus 
  • Experience with SQL and NoSQL databases, specifically related to building ML data pipelines, is preferred 
  • Nice to have experience with data pipeline orchestration tools such as Airflow, Dagster, and Prefect
  • Experience in agile and test-driven methodologies
  • Excellent verbal and written communication skills
  • Strong analytical skills with proficiency in answering data-related questions
  • Fluent in verbal and written English

Interested in this job?

Apply to Turing today.

Apply now

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.

Frequently Asked Questions

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, the service is absolutely free for software developers who sign up.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

View more FAQs

Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Work full-time at top U.S. companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.

Apply now

Apply now