Machine Learning Developer at Rocket Innovation Studio designing frameworks for automated decision-making. Collaborating with data scientists to develop algorithms and hosting trained models into business processes.
Responsibilities
Design and develop the platform and frameworks that facilitate automated data-driven decision-making
Collaborate with data scientists to develop algorithms and tools for training and running simulations
Build services to interact with machine learning models through simulations
Participate in code reviews to ensure code quality and share best practices
Develop services that host the trained models and work with other application teams to integrate them into business processes
Gather and analyze large datasets and develop data model pipelines
Develop algorithms that drive automated data-driven decision-making
Build the tools for monitoring the performance of machine learning applications.
Requirements
Master’s degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
1 year of experience in machine learning and using libraries such as Scikit-learn, TensorFlow, Caffe, Keras, etc.
1 year of experience working with large datasets, structured and unstructured
1 year of programming experience, including Java, Scala, C/C++, or Python
1 year of experience with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka)
1 year of experience with distributed computing platforms, such as Spark, and user interface frameworks, such as Angular or React
1 year of experience with cloud computing providers such as AWS or Azure
Proficiency in the Microsoft Office suite
Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
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