Job Description :

Bachelor's Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area- 2+ years of experience working in a Data Science/Machine Learning Engineering role. - Proficient in Python, Spark (Pyspark), and SQl, Microservices python - Comfortable operating in a Linux environment- Experience developing production applications with Big Data, with tools like Spark, Hive, and Hadoop. - Experience building model training pipelines in the cloud. - Experience deploying ML services and applications to at least one major cloud platform (AWS, Azure, GCP, IBM Cloud)- Proficient in software design patterns (e.g. understand object-oriented vs functional programming principals, inheritance, writing abstract, reusable, and modular code) - Experience building and deploying microservices as part of Machine Learning/Data Science applications. - Experience with building continuous integration and delivery pipelines for Machine Learning applications.

Preferred Qualifications :

Develop solutions with an Agile Development team - Define, produce, test, review, and debug solutions - Create comprehensive unit test coverage in all layers - Deploy solutions to Docker containers and Kubernetes - Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, MxNET) - Experience orchestrating the deployment and management of predictive models in a cloud environment. - Experience working in an AGILE development team.