AWS ML Cloud Engineer

WHERE WE NEED YOUR HELP

• Define and implement the strategy for building a best in class ML protocol for bringing dark data out of industry specific documents
• Train ML models for extracting and mapping data from PDFs, Excel, and other types of documents into our data model
• Create, manage and dispatch labeling jobs for improving the ML engine
• Deploy models into production
• Work alongside architecture and engineering teams to design and implement any scalable software services
• Leading software projects, from start to finish, where the scope is undefined or needs refinement
• Implement continuous integration/continuous delivery (CI/CD) pipelines when necessary
• Be responsible for the planning, implementation, and growth of the AWS cloud infrastructure
• Manage a continuous integration and deployment methodology for server-based technologies
  

REQUIRED QUALIFICATIONS

• 5+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service-oriented architectures
• Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies
• Experience developing ML models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications
• Deep understanding of AWS Services such as S3, ECS, EKS and EMR
• Experience with AWS services related to AI/ML highly desirable, particularly Sage Maker, Lex, Rekognition, Textract and Comprehend
• Technical degree required; Computer Science or Math background highly desired

BONUS POINTS

• AWS specialty certification(s) and commitment to maintain
• Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
• Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch
• Prior domain experience in energy, climate change, or sustainability is a huge plus!