Planet Technology Company logo on Dataaxy
Planet Technology

Machine Learning Engineer

United States
Mid-Senior level


Location: 100% Remote

Duration: 6 Months - Contract-to-Hire

Interview/start: 2- Rounds


Our client is growing and has hired close to 30 people in the last 4 months. This is a heavy collaboration environment. VP operates in a camera always on mentality. He is very flexible with real world items (family first type leader), but expects communication and being highly visible in this remote work style. Agile development (2ish week sprints). Strong believer in iterative development releases, demos etc.


  • 5+ years of full-time work experience in one or more relevant machine-learning roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Experience with developing machine learning models at scale from inception to business impact
  • Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Experience in working with large data sets, data processing, and data analytics.
  • Familiarity with cloud platforms, preferably AWS, and their machine learning services.
  • Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience delivering models through the MLOps life cycle from exploration to serving.
  • Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning.
  • Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.
  • Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.

Key informations

Posted 13 days ago

Don’t miss out on new
Data & AI Jobs

Get curated job alerts weekly.

Other jobs at Planet Technology

Planet Technology does not currently have any open job positions in Data & Ai.
© 2023 | All Rights Reserved | Built with 🤍 in MontrealAll our data is gathered from publicly available sources or contributed by users