ClickUp - Growth Machine Learning Engineer

• Experience: 4+ years of experience in ML engineering, data engineering, or a related role, with at least 2 years focused on building and deploying machine learning systems in production. • Strong proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Hands-on experience with MLOps tools and platforms (e.g., MLflow, SageMaker, Kubeflow, Vertex AI). • Solid SQL skills and experience with data warehouses and feature stores. • Experience with big data technologies (e.g., Spark, Hadoop) and streaming frameworks. • Expertise in cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). • Familiarity with CI/CD practices applied to ML workflows. • ML Knowledge: Strong understanding of machine learning algorithms, model evaluation techniques, feature engineering, and experiment tracking. • ML Knowledge • Soft Skills: Strong problem-solving abilities, excellent communication skills, and a collaborative mindset with the ability to work across technical and non-technical stakeholders. • Desirable • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field. • Education • Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply! • At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.