Machine Learning Engineer

🚀 Machine Learning Engineer | High-Impact Product Role 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