Machine Learning Engineer

🚀 Machine Learning Engineer

I am partnered with a fast-growing, performance branding company that’s looking to bring on a Machine Learning Engineer to join a highly collaborative and innovative team. This is a key role where you’ll drive the development of predictive models that directly influence product performance and client outcomes.

This is an opportunity to work on high-visibility projects where your work will directly shape product strategy and business impact.

Responsibilities:

• Lead the design, development, and optimization of predictive machine learning models
• Analyze large, complex datasets to uncover trends and actionable insights
• Partner with data engineering teams to build and maintain feature pipelines
• Evaluate and iterate on model performance using robust testing methodologies
• Deploy models into production environments and integrate via APIs
• Collaborate cross-functionally with product, engineering, and technical stakeholders
• Stay at the forefront of ML and data science advancements, bringing new ideas into practice

Qualifications

• Advanced degree (Master’s or PhD)
• Strong experience building and deploying ML models in a production environment
• Deep understanding of machine learning techniques (e.g. regression, classification, clustering, deep learning)
• Proficiency in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn)
• Experience working with SQL, cloud platforms (AWS, GCP, or Azure), and modern data warehouses
• Experience with dbt, semantic layers, or modern data transformation tools
• Understanding of digital marketing ecosystems and attribution models