ML Engineer: Build, Deploy & Optimize Real-World Models

Pioneer West Solutions; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Pioneer West Solutions in Seattle, WA is seeking a Machine Learning Engineer for a full-time role. You will design, develop and deploy ML models to solve real-world business problems, collaborating with data scientists and engineers to integrate models into production systems.

The ideal candidate holds a master's or PhD in a quantitative field, is proficient in Python and ML frameworks, and has experience with data prep, feature engineering, and model evaluation.

Qualifications

• Master's or PhD in Computer Science, Data Science, or a related field.
• Experience with machine learning frameworks such as TensorFlow or PyTorch is required.
• Knowledge of cloud platforms like AWS or GCP is a plus; SQL and Python are essential.

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with data scientists and software engineers to integrate models into existing systems.
• Conduct experiments and analyze results to improve model performance and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to projects.
• Document and share work with the team to ensure knowledge transfer and continuous improvement.
• Work closely with clients to understand their needs and deliver tailored ML solutions.

Skills

Python

R

ML libraries

Data prep

Feature eng

Model eval

Team comms

Enthusiasm for ML

Education

Master's or PhD in CS/Stats/Math

Tools

TensorFlow

PyTorch

scikit-learn

AWS/GCP

Job description

Pioneer West Solutions in Seattle, WA is seeking a Machine Learning Engineer for a full-time role. You will design, develop and deploy ML models to solve real-world business problems, collaborating with data scientists and engineers to integrate models into production systems.

The ideal candidate holds a master's or PhD in a quantitative field, is proficient in Python and ML frameworks, and has experience with data prep, feature engineering, and model evaluation.