MACHINE LEARNING ARCHITECT

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  • Job Category:

    Information Technology
    • City:

      Calgary
    • Province:

      AB
  • Status:

    Open
  • Types:

    Perm
  • Job Id:

    30065094

Description

Our Calgary client is looking for a Machine Learning Architect to join their team on a permanent basis.  The successful candidate will participate in all phases of the model development lifecycle. If this sounds like the perfect next step in your career, please apply below.

Job Responsibilities
  • Apply MLOps and DataOps best-practices to automate and improve the quality and efficiency of machine learning
  • Provide guidance on the development, enhancement, optimization, and maintenance of deep learning models 
  • Transform abstract algorithms into efficient and scalable cloud solutions
  • Evaluate, optimize, and monitor costs associated with running different models in production
  • Work with the hardware and software team to collect and structure data that will expedite training and enable accurate and efficient inferencing
  • Identify and resolve complex technical and  programmatic problems within schedule,budget, and resource constraints

Candidate Qualifications
  • Masters or PhD in mathematics, engineering, environmental science, or equivalent relevant experience
  • Five+ experience in creating deep learning models
  • Proficient in model development using Python, PyTorch, and Jupyter Notebooks
  • MLOps and DataOps experience
  • Strong experience with managed machine learning platforms such as AWS SageMaker and Azure Machine Learning
  • Experience with online and offline inferencing
  • Familiar with stream processing frameworks such as Stream Analytics, Kinesis Data Streams, and Kafka Streams
  • Experience with relational and non-relational datastores such as Postgres, TimescaleDB, DynamoDb, and CosmosDb
  • Past start-up experience considered a bonus
  • Experience developing IoT solutions would be an asset

People are the heart of every business. At BOWEN, we support that truth every single day. We champion inclusive cultures and harness diverse talent. We encourage applications from all, including people of any ethnic or national background, religion, sex, age, sexual orientation, gender identity, Indigenous Peoples and persons with disabilities.


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