Lead Machine Learning Software Engineer

Bailey Finch are delighted to assist our client with the role of Lead Machine Learning Software Engineer

Primary Responsibilities:

Develop analyses, methodologies and models
Develop requirements for developers to include outcomes in software solutions
Conduct training and knowledge transfer in data science
Document findings, including assumptions and validation work in a clear structured manner
Summarize and present findings; adjust the content and level of detail to appropriate level of the audience
Advise project teams and project sponsors
Use strong business, problem solving skills and programming knowledge to quickly cycle hypotheses through discovery
Work closely with clients, data stewards, and other business and technology leaders to frame problem definition and potential solutions
Utilize data from several data sources to support solution features, train and drive test models
Direct the work of others

Required Qualifications:

Advanced degree in quantitative field, computer science, statistics, applied mathematics or similar
5+ years of demonstrated Machine Learning, Artificial Intelligence, Predictive Analytics experience
2+ years of incorporating ML & AI concepts into solution development
Demonstrated experience with various Machine Learning and Cognitive technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio
Hands on experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning
Experience with business intelligence tools
Experience with big data technologies like Hadoop, Hive, Spark, H2o and others
Ability to create prototypes in R, Python, Scala, Java or similar stack to demonstrate the results of algorithmic approaches
Agile Software Development experience