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    Remote Software Engineer-Front End - Toronto, ON, Canada - Brunel

    Brunel
    Brunel Toronto, ON, Canada

    1 week ago

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    Description
    Software Engineer, Machine Learning (6-month contract) Toronto, ON

    We are hiring a Software Engineer for Machine Learning within our clients Digital R&D Large Molecule Research Team.

    The Software Engineer will be responsible for leveraging large scale ML systems to augment the drug discovery process while also scaling up the company's AI solutions for the patients of tomorrow.

    The successful candidate should be comfortable working in large teams with disparate stakeholders where you can lead and champion technical decisions and have a keen eye for improvement opportunities and a demonstrated ability to deliver using software engineering and ML software integration skills while working across the full stack and moving fluidly between programming languages and technologies.

    This a 6-month contract position located in Toronto, Ontario.

    Work in agile pods to design and build cloud hosted, ML products with automated pipelines that run, monitor, and retrain ML Models
    Design AI/ML apps and implement automated model and pipeline adaption and validation working closely with data scientists and data engineers
    new releases, change management, monitoring and troubleshooting).
    app monitoring, troubleshooting, life cycle management and customer support)
    Maintain effective relationships with application userbase to develop education and communication content as per life cycle events
    Graduate degree in Computer Science, Information Systems, Software Engineering or another quantitative field
    Ability to work across the full stack and move fluidly between programming languages (e

    g:
    Python, SQL, Spark) and ML frameworks (e

    g:
    Experience in cloud and high-performance computing environments
    Knowledge of relational and non-relational databases
    Experience in development, deployment and operations of AI/ML modelling of complex datasets
    Experience in data science, statistics, software engineering, modular design and design thinking.

    Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment.

    Experience building and deploying data science apps with large scale data and ML pipelines and architectures.
    Experience working in an agile pod supporting and working with cross-functional teams.

    Good understanding of ML and AI concepts and hands-on experience in development, deployment and agile life cycle management of data science apps.

    Ability to assess new technologies and compile architecture decision records (ADRs).

    Finding the next step in your career can be a fulltime job in itself.

    Over 45 years, we've created a global network of interesting clients and talented individuals working together through a vast array of services.

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