Lead I - ML Engineering

Axelon

  • Aliso Viejo, CA
  • 8 days ago
  • $50–$55 Per Hour

Highlights

Collaboratively work with business, technology, and product teams to understand product objectives and formulate the ML problem. Conduct ML experiments to understand feasibility and build baseline models to solve business problems.

Numbers & Facts

LocationAliso Viejo, CA
Salary$50–$55 Per Hour

Description

Pay Rate: $74.0 per hour

Responsibilities:

  • Design and develop ML solutions to enable intelligent experiences and provide value.
  • Collaboratively work with business, technology, and product teams to understand product objectives and formulate the ML problem.
  • Execute relevant data wrangling activities related to the problem.
  • Conduct ML experiments to understand feasibility and build baseline models to solve business problems.
  • Fine-tune the baseline model for optimum performance.
  • Test models internally per acceptance criteria from the business.
  • Identify areas and techniques to optimize the model based on test results.
  • Document relevant artifacts for communication with the business.
  • Work with data scientists to deploy the models.
  • Collaborate with product teams in planning and execution of new product releases.
  • Set OKRs and success steps for self/team and provide feedback on goals to team members.
  • Identify metrics for validating the models and communicate them in business terms to the product teams.
  • Keep track of trends and conduct rapid prototyping to assess feasibility for existing solutions.

Requirements:

  • Minimum experience in executing data wrangling activities and conducting ML experiments.
  • Experience in building and fine-tuning ML models.
  • Strong ability to collaborate with cross-functional teams.
  • Proficiency in documenting and communicating technical artifacts.

Preferred Skills:

  • Experience in deploying ML models in production environments.
  • Familiarity with setting and tracking OKRs in a team setting.
  • Ability to rapidly prototype and evaluate emerging ML trends.

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