serverobotics - Senior Data Scientist, Machine Learning

• Bachelor’s Degree or U.S. equivalent in Computer Science, Data Science, or a related field, • 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or any occupation, job title, or position performing software engineering and machine learning. • Must also have the following special skills: • 5 years of professional experience utilizing SQL to write and optimize complex queries for extraction, analysis, and ingestion of structured, semi-structured, and unstructured data; 5 years of professional experience utilizing machine-learning frameworks (including TensorFlow and PyTorch) • 5 years of professional experience designing and developing data and feature extraction pipelines, including pipelines for multi-modal data (including images, point clouds, or time-series) • 5 years of professional experience training and prototyping machine-learning models using data-centric techniques including automated feature engineering, active learning, and fine-tuning; 5 years of professional experience utilizing cloud platforms including AWS, GCP, or Azure • 5 years of professional experience utilizing containerization and workflow tools including Docker, Kubernetes, or Airflow • 5 years of professional experience collaborating with cross-functional engineering teams to integrate data pipelines and ML workflows • 3 years of professional experience programming in Python, building scalable data pipelines, or implementing ETL workflows • 1 year of professional experience working with relational databases and SQL (including Postgres, Redshift, or SQL Server).