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  • Posted: Dec 11, 2024
    Deadline: Not specified
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    M-KOPA’s mission is to make high quality energy affordable to everyone. OUR GROWTH SO FAR... M-KOPA has connected more than 400,000 homes in Kenya,Tanzania and Uganda to solar power with over 550 new homes being added every day.
    Read more about this company

     

    Senior Analytics & MLOps Platform Engineer

    About Role

    • Our mission is to improve the ability of Product, Operations and Data Science teams in M-KOPA to make data driven decisions and automate them using machine learning.
    • You will be designing and implementing architectures to streamline exploration, training, deployment and monitoring of machine learning models. Building and maintain CI/CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows.
    • You will also implement version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices. Using Azure and infrastructure-as-code tools (e.g., Azure Bicep, Terraform) you will automate and manage infrastructure for data pipelines, machine learning model training, and serving.
    • Additionally, you will establish infrastructure and engineering patterns to feature engineering and reuse across suite of models. Developing workflows for model validation, testing, and deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration.
    • This is a fully remote role, you would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Head of Analytics at M-KOPA.

    Expertise

    • Our expectation is that you have experience managing machine learning infrastructure in production, working with infrastructure-as-code tools such as Azure Bicep, Terraform, ARM, CloudFormation or similar, and good practical experience in data engineering, for machine learning or general analytics use case.
    • Additionally, having experience with Kubernetes or other platforms for containerized applications as well as working with orchestration systems such as Apache Airflow would be essential to succeed in this role.
    • The ideal candidate for this role would need to have proficiency in programming languages (Python, C#, Java, etc.) as well as a certification in Azure Solutions Architect Expert or similar.

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    Head of Device Sustainability - Maternity Cover (6 Months)

    Key Responsibilities

    • Lead and develop our second-life device strategy across multiple markets, overseeing the end-to-end processes from sourcing, through to refurbishment, to sales of second life devices
    • Lead the design of new pilot programs, driving ongoing experimentation and learning, and oversee their implementation and scale-up of successful initiatives
    • Oversee and coordinate second life device operational activities across M-KOPA's 5 operating markets, ensuring consistency and efficiency in operations
    • Provide strategic guidance to country teams on execution and alignment with company objectives
    • Develop and maintain strategic supply chain partnerships

    Required Expertise

    • Strong commercial acumen and strategic thinking capabilities
    • Track record of implementing and scaling operational pilots across multiple markets
    • Excellent communication and leadership skills
    • Ability to travel as required
    • Proven experience in mobile device sustainability or circular economy initiatives would be a plus

    Method of Application

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