Python Job: Machine Learning Engineer

We are looking for a Machine Learning (ML) Engineer for 100% remote work with USA clients

Qualifications for the Role:

• Bachelor’s Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area * 4-6 Years minimum / no location constraint

• 2+ years of experience working in a Data Science/Machine Learning Engineering role.

• Proficient in Python, Spark (Pyspark), and SQL

• 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

• Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, MxNET)

• Experience developing with AWS managed services such as EMR.

• Experience orchestrating the deployment and management of predictive models in a cloud environment.

• Experience working in an AGILE development team.

• Bachelor’s Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area

Job Type: Full-time