Machine Learning Engineer

Description

Responsibilities Work with Data Scientists and Business Analysts to frame problems within a business context. Build data pipelines that pull data from various sources Collaborate with Data Scientists to develop algorithms and tools for training and running simulations Develop services that host the trained models and work with other application teams to integrate them into business processes Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect domain experts' feedback Participate in code reviews to ensure code quality and share best practices and experiences with the teamRequirements Master's degree in computer science or a related field Ph.D. or three years of professional or research experience with software development, algorithm design, modeling or machine learning Familiarity with various machine learning methods Strong objectoriented programming skills, including proficiency in Java, Scala, C/C++ or Python Experience building and productionizing microservices and APIs Knowledge of machine learning libraries like Scikitlearn, TensorFlow, Caffe, Keras, etc. Experience working with large datasets, both structured and unstructured Familiarity with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka) and experience using a distributed computing platform, such as Spark Familiarity with a user interface framework such as Angular or React Great verbal and written communication skills