Machine Learning Engineer

Skills

Concept ArtData ProcessingDatabasesDeployment StrategiesDistributed ComputingOptimizationPattern Recognition

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Master’s degree in software engineering computer science or a related field of study; PhD preferred
Minimum of seven years of experience designing developing and releasing machine learning software products independently and collaboratively
Programming skills in Python with experience developing reusable packages
Understanding of machine learning systems design concepts
Proficiency with distributed computing frameworks machine learning packages and relational/nonrelational databases
Familiarity with cloud infrastructure and deployment strategies
Experience with performance optimization and writing efficient queries for data processing needs
Excellent problem-solving and analytical skills
Strong communication and collaboration skills with a track record of working effectively in cross-functional teams
Knowledge or experience in the utility power or energy sector is a plus

Collaborate with cross-functional teams to design develop and deploy scalable software products that incorporate machine learning models
Develop reusable Python and R packages to support the implementation of machine learning algorithms and data processing pipelines
Evaluate database design and create optimized performance queries for efficient data processing and retrieval
Break down complex machine learning tasks into manageable user and technical stories ensuring efficient and effective implementation
Ensure high-quality test coverage of machine learning code and participate in peer reviews to provide valuable recommendations
Stay updated on the latest scientific programming and machine learning open-source trends incorporating them into our development practices
Contribute to continuous delivery and Agile development processes adhering to best practices in machine learning engineering