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Една от всички 317 обяви за Data Science в София

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Machine Learning Engineer

Обявата е публикувана в следните минибордове

  • Sofia, Bulgaria
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    Good day everyone,

    We are looking for a self-driven Machine Learning Engineer who is passionate about fields such as machine learning and predictive modeling but also software engineering, and big data concepts. As part of the data science team, you will be the driving force in operationalizing our machine learning models and making them scalable on the cloud platforms of the clients.

    About the company:

    “Amplify Analytix” was founded three years ago and has grown into an international data analytics brand that strives to make every commercial decision better with data. They are proud to be a diverse, international team that helps and supports each other and solves problems together, to deliver the best for their clients and themselves. Till now they have grown a strong client-base and serve enterprise clients in Europe, the US and India.

    Your responsibilities:

    • Develop tooling and infrastructure that support data scientists with model deployment in production systems, especially in the domain of machine learning and AI. These production systems will include cloud environments (Azure, AWS, GCP).
    • Understand how a software component fits into a larger ecosystem of products and services. Understand how different pieces of software communicate with each other using library calls, REST APIs, database queries, etc., and build appropriate interfaces using this understanding.
    • Pursue Software engineering best practices – including requirements analysis, system design, modularity, version control, and testing.
    • Have experience in the use of standard implementations of Machine Learning algorithms widely available in various libraries and frameworks.

    Ideally, you have the following profile:

    • 3+ years of hands-on experience in automating data science models and data pipelines.
    • 3+ years of hands-on experience in on-demand cloud computing platforms like AWS, Microsoft Azure.
    • Solid hands-on experience in machine learning orchestration toolkits like Kubeflow.
    • Strong experience in Git
    • Strong experience in Docker.
    • Strong experience in RESTful APIs.
    • Experience with advanced modeling tools (R, Python, MySQL, Spark, etc.).
    • Experience with frameworks/ libraries like Sklearn/ Tensorflow/ Pytorch.
    • Fluent/Native English proficiency is an absolute must.
    • A degree in Mathematics, Physics, Engineering, Computer Science, or another quantitative subject.

    The following would also be a plus:

    • Understanding of the theory of Machine Learning.
    • Experience with object-oriented programming languages (preferably Java).
    • Prior experience with Hadoop eco-system (Hadoop, Spark, Storm, etc.).
    • Any experience of studying or working in an international environment would be an advantage.
    • A track record of analytical or consultancy projects would be a huge advantage, but not a requirement.

    These will be your benefits:

    • They work with international clients, so travel is occasional, conference calls are daily.
    • Dynamic is one way to describe Amplify. They have ambitious growth plans which means you will be joining a growing, changing, evolving, learning, and never-giving-up, can-do organization. At the same time, challenges are faced as a team, in which people respect each other, so do not expect a Wolf of Wall Street kind of atmosphere.
    • Flat structure and relaxed, sensible atmosphere – we are goal-oriented and pragmatic.
    • Work-life balance is a priority that we take seriously – we know that happy people are productive people.
    • They will compete for every piece of the pie – the world’s top consultancies are up against us, so our level of interaction and deliverables need to be exceptional.
    • The opportunity to grow and learn is on the table, it is up to you to grab it and make the best out of it. Create your own destiny.

    Now it’s time to apply by sending your CV and we will get in touch with the short-listed candidates.

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