Machine Learning Engineer
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About The Position
We are seeking a Machine Learning Engineer proficient in Python, Spark, and distributed computing to scale machine learning solutions. The ideal candidate will have a strong background in deploying models on cloud platforms such as AWS, GCP, and Azure. This role involves building and maintaining machine learning pipelines using tools like Airflow or Kubeflow, and utilizing tracking tools such as mlflow and TensorBoard to manage the machine learning lifecycle effectively. The candidate will also be responsible for ensuring model explainability, monitoring, and optimization for deployment, as well as implementing secure deployment practices using Docker and Kubernetes. This position is a 12-month contract and is fully remote, allowing for flexibility in work hours while focusing on delivering high-quality machine learning solutions.
