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  • Posted: Jul 29, 2022
    Deadline: Not specified
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  • Andela is a global talent accelerator that produces world-class remote developers and connects them with top employers. Andela finds the brightest young people in Africa and gives them the training and mentorship needed to thrive as full-time, remote developers for companies around the world. The company is backed by investors including Steve Case, Omidya...
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    Machine Learning Engineering Lead

    About the Role

    • Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns, and many others.
    • Data Science (DS) is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning (ML) on both structured and unstructured data, recommendation algorithms, and combinatorial optimization.
    • The ML Engineering Lead at Andela will take primary ownership of deploying all ML and DS algorithms on Andela’s product marketplace 
    • You will be defining solution architecture and playing an active role in algorithm deployment with a razor-sharp focus on minimizing latency, managing computation resources effectively and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.

    Responsibilities

    • Work with the Principal Data Scientist, product managers and platform engineers to identify the right delivery approach for algorithms.
    • Develop ML Architecture for each solution to meet product and system performance requirements.
    • Deploy the solution in production in collaboration with the data, engineering and product teams and build appropriate monitoring systems.

    Requirements

    • Graduate Degree (M.Sc / Ph.D.) in Engineering / Information Systems / Applied Science or equivalent practical experience.
    • High fluency in ML algorithms and other data science approaches.
    • Minimum of 5 years of work experience deploying algorithms in production for impactful B2B and/or B2C products.
    • Flexibility in working with a variety of data science approaches.
    • Expertise in one or more object-oriented languages such as Python or Java.
    • Experience with cloud-based environments such as AWS, GCP or Azure.

    Benefits

    • Fully Remote work culture - we hire globally and all of our roles are fully remote!
    • Bring your own device stipend - buy your own laptop with funds from Andela
    • Quarterly work from home stipends
    • Flexible working hours
    • Equity (as a part of compensation package)
    • Healthcare, 401k / pension (US only)
    • Andela Affinity Groups
    • Growth & development paths
    • Generous Paid Time Off, Parental Leave, Compassionate Leave
    • And more to come! We're on a journey to reimagine global benefits at Andela.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Andela on boards.greenhouse.io to apply

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