ML Engineer (Froduction Focus)

Bachelor in Computer Sciences/Engineering or equivalent.Machine learning/statistics: strong background (e.g., hypothesis testing, and error analysis) with hands-on experience in academia and/or industryStrong Programming Skills, Proficiency in Python, SQL (Go is a plus) and core ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.)Experience designing and operating complex machine learning models and data pipelinesFunctional with CI/CD tools and practices. Understanding of automating build, test, and deployment processes.Documentation Skills: Strong to document data/machine learning engineering processes, architectures, and methodologies for effective knowledge transfer and maintainable systems.Have ownership of one own's project: taking pro-active actions to remove road blocks when arisesAbility to run one project independently: taking requirements from stakeholders, deliver the project in a timely mannerStrong communication and collaboration skills with a proven track record to work effectively in cross-functional teamsKeen learner and self-motivated team player