Machine Learning Engineer

Compunnel, Inc.; Aliso Viejo (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Compunnel, Inc. seeks a ML Engineer II to design and develop ML models that address business challenges using advanced techniques. You'll collaborate with various teams to create effective ML solutions and participate in testing, fine-tuning models, and documenting your work.

The ideal candidate will have experience in cross-functional teamwork and data wrangling, along with a solid understanding of ML processes.

Qualifications

• Ability to design and develop ML models to solve business problems using state‑of‑the‑art techniques.
• Experience with cross‑functional teams including business, technology, and product.
• Proficiency in creating viable datasets.
• Experience with ML experiments and baseline model building.
• Ability to fine-tune models for optimum performance.

Responsibilities

• Collaborate with teams to understand product vision and build ML solutions.
• Execute data wrangling activities for dataset creation.
• Conduct ML experiments and assess feasibility.
• Test models against business acceptance criteria.
• Document relevant artifacts for communication.

Skills

ML model design and development

Data wrangling

Collaboration with cross-functional teams

ML experimentation

Model fine-tuning

Documentation for business communication

Job description

Job Summary

The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state‑of‑the‑art techniques under the guidance of Senior ML Engineers. This role involves collaborating with cross‑functional teams to build valuable ML solutions for products.

Key Responsibilities

• Work with cross‑functional teams (business, technology, product) to understand product vision and build ML solutions that bring value to the product.
• Execute data wrangling activities to create viable datasets for ML problems.
• Conduct ML experiments to assess feasibility and build baseline models.
• Fine‑tune baseline models for optimum performance.
• Test models internally against business acceptance criteria.
• Identify areas and techniques for model optimization based on test results.
• Document relevant artifacts for business communication.
• Collaborate with data scientists on model deployment.
• Work with product teams in planning and execution of new product releases.
• Set OKRs and success steps, and provide feedback on goals for team members.

Required Qualifications

• Ability to design and develop ML models to solve business problems using state‑of‑the‑art techniques under guidance.
• Experience working with cross‑functional teams including business, technology, and product.
• Proficiency in data wrangling activities to create viable datasets.
• Experience conducting ML experiments to understand feasibility and build baseline models.
• Experience fine‑tuning models for optimum performance.
• Experience testing models internally per acceptance criteria.
• Ability to identify areas and techniques for model optimization.
• Experience documenting relevant artifacts for business communication.
• Experience collaborating with data scientists for model deployment.
• Experience working with product teams in planning and execution.
• Experience setting OKRs and success steps, and providing feedback on team goals.