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Machine Learning Engineer - Full Time

Istanbul (Hybrid) Full Time

    Machine Learning Engineer


    Doktar is an Agritech company with a purpose of improving food systems through intensive use of data and data driven decisions. To fulfill its purpose, Doktar delivers a palette of digital services to the entire agricultural value chain. Doktar is positioned as a one-stop shop for digital agriculture solutions, which requires us to develop and deliver a set of services based on emerging technologies, such as remote sensing, internet of things, machine learning and artificial intelligence.


    We are looking for a Machine Learning Engineer who is passionate about the machine learning, computer vision, and big data to improve the agricultural environment, support today's farmers and lead sustainable data-driven agri-food ecosystem.


    Roles & Responsibilities

    ·       Drive the end-to-end execution of the ML/AI development, from understanding requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment.

    ·       Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.

    ·       Monitor product health, performance and business impact and act accordingly when requirements are not met.

    ·       Develop the strategy and research plan for machine intelligence on a product family by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.

    ·       Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.

    ·       Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.

    ·       Document and share the findings, and generalize these technologies into reusable frameworks.

    Key Skills & Qualifications

    ·       Strong relevant work or academic experience involved in the development and application of Machine Learning.

    ·       Strong experience in one or more programming languages such as Python, R, Java, C++.

    ·       Strong experience working with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

    ·       Strong experience working with cloud computing platforms such as AWS, Azure or Google Cloud.

    ·       Knowledge of software development best practices, such as testing, version control, and continuous integration/deployment.

    ·       Ability to write production-quality code.

    ·       Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

    ·       Strong problem-solving and critical thinking skills.

    ·       Strong communication and collaboration skills.

    What We Offer

    ·       An interesting and highly autonomous job in a young and interdisciplinary team;

    ·       Participation in national & global-scale projects;

    ·       State-of-the-art technical facilities (software and communication tools);

    ·       Professional development opportunities;

    ·       Hybrid work and flexible working hours;

    ·       Company shares options;

    ·       Private health insurance covering family members under 22 years;

    ·       Monthly lunch fee (vouchers);

    ·       Performance-based yearly bonuses.



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