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Planet Technology

Machine Learning Engineer

📍
United States
🧪
Mid-Senior level

W2 only


Duration - 6 months Contract to hire

Location - 100% remote - PST hours


JOB DESCRIPTION

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

🧳
Contract
📅
Posted 16 days ago

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