Machine Learning Engineer 100% Remote Open to take Coding Test 12 Months contract to start Job Overview: Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what we, the Machine Learning Engineering group do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our others. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more! Description Ability to write robust code in one or more of Python, Scala and Java Proficient in core technologies like Spark, Hadoop and Hive. Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis. Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. Familiar with cloud services like AWS, Azure and workflow orchestration tools (e.g., Airflow). Experienced in using SQL for querying data from relational tables. Degree with strong technical focus (Computer Science, Engineering). Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components. Prototype creative solutions quickly by developing minimum viable products Actively participate in group technology reviews to critique work of self and others.