Planet Technology Company logo on Dataaxy
Planet Technology

Machine Learning Engineer

United States
Mid-Senior level

W2 only

Duration - 6 months Contract to hire

Location - 100% remote - PST hours


Seeking an experienced Machine Learning Engineer to join our team and play a pivotal role in the development of our advanced Generative AI applications and systems. This dynamic role involves a variety of initiatives, including designing, building, and delivering ML applications leveraging AI technologies like LLMs and FMs.

Key Responsibilities:

  • Develop, train, and fine-tune ML models, with a focus on LLMs, FMs, and RAG.
  • Lead the model development lifecycle from data collection and preprocessing to model evaluation and deployment.
  • Collaborate with business partners, engineers, analysts, and data scientists to translate business requirements into effective AI solutions.
  • Conduct experiments, including A/B testing, to enhance model accuracy and efficiency.
  • Deploy models to production, ensuring scalability and efficiency.
  • Optimize machine learning applications for performance and reliability.
  • Monitor and maintain models in production environments.
  • Stay updated on AI, ML, and GenAI advancements to drive innovation.
  • Provide data-driven insights and recommendations.
  • Mentor team members on AI/ML engineering best practices

Must Haves:

  • 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.
  • Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.

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.

Key informations

Posted 16 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