ML Product & Deployment Lead

Compunnel, Inc.; Bellevue (WA); On-site; USD 90,000 - 130,000; Full time

Job summary

Compunnel, Inc. is looking for a Machine Learning Developer responsible for designing and developing ML solutions that drive intelligent experiences. You will work closely with business, technology, and product teams to tackle ML challenges with minimal guidance.

Your key responsibilities include executing data wrangling activities, conducting experiments, optimizing models, and collaborating with data scientists on deployments. This role requires excellent communication skills to convey technical information in business terms and set OKRs for success.

Qualifications

• Ability to design and develop ML solutions.
• Experience with data wrangling activities.
• Experience conducting ML experiments.
• Ability to fine-tune models for performance optimization.
• Experience with internal model testing.
• Experience working with data scientists on model deployment.
• Ability to identify model validation metrics.
• Proficiency in communicating technical concepts in business terms.

Responsibilities

• Execute relevant data wrangling activities related to the problem.
• Conduct ML experiments to understand feasibility and build baseline models.
• Fine-tune baseline models for optimum performance.
• Test models internally per acceptance criteria from the business.
• Identify areas and techniques to optimize models based on test results.
• Document relevant artifacts for communication with the business.
• Collaborate with data scientists to deploy models.
• Work with product teams in planning and execution of new product releases.

Skills

Designing ML solutions

Collaboration with teams

Data wrangling

Conducting ML experiments

Model optimization

Documentation skills

Communicating business terms

Trend tracking

Job description

Compunnel, Inc. is looking for a Machine Learning Developer responsible for designing and developing ML solutions that drive intelligent experiences. You will work closely with business, technology, and product teams to tackle ML challenges with minimal guidance.

Your key responsibilities include executing data wrangling activities, conducting experiments, optimizing models, and collaborating with data scientists on deployments. This role requires excellent communication skills to convey technical information in business terms and set OKRs for success.