We’re partnering with a fast-growing, data-driven organization 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. What you’ll be doing: • 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 What we’re looking for: • Advanced degree (Master’s or PhD) in a relevant field • 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 • Strong communication skills with the ability to work across technical and non-technical teams • A proactive mindset with a passion for solving complex problems using data Tech stack & tools: Python | SQL | Cloud Platforms (AWS, GCP, Azure) | Data Warehouses (Snowflake, BigQuery, Redshift) | AI/LLM APIs | Git Nice to have: • Experience with dbt, semantic layers, or modern data transformation tools • Exposure to TypeScript • Background in Bayesian modeling or marketing analytics (e.g. marketing mix modeling) • Familiarity with experimentation frameworks (A/B testing, causal inference) • Understanding of digital marketing ecosystems and attribution models 💡 This is an opportunity to work on high-visibility projects where your work will directly shape product strategy and business impact.