Qualifications Masters degree in Software Engineering, Data Engineering, Computer Science or related field 5 years of relevant work experience Strong Scala and Python background Experience with Apache Spark and/or Ray Knowledge of AWS, GCP, Azure, or other cloud platform Knowledge of current principles and frameworks for ML Ops Experience with ML Ops technologies such as ML Flow, DVC, Grafana, Data Hub, Databricks Experience with machine learning technologies such as Py Torch, Tensor Flow, AWS Sagemaker Experience with CI/CD pipelines, including Jenkins or Git Actions Experience with Docker containerization or Kubernetes orchestration Experience in improving data security and privacy, and managing and reducing cloud costs Knowledge of API development and machine learning deployment Responsibilities Develop and implement a strategy for continuous improvement of our Machine Learning Ops including versioning, testing, automation, reproducibility, deployment, monitoring, and data privacy D...