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Iris.ai

Machine Learning Engineer

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    Tech Stack / Изисквания

    IRIS.AI is an ML driven software that helps scientists all over the world throughout their work. We are building a fully fledged Science Assistant Machine that can read and understand scientific text and give you the full picture of the current state-of-the-art in a human understandable way.

    Our AI facilitates our clients’ scientific research and development process in creation of innovative, sustainable resources such as biodegradable materials, medicine, vaccines, improved metals, smart education, global decarbonization.

    The Backend Developer with ML position at Iris.ai is for bright and motivated people who enjoy dynamics and solving complex algorithmic and engineering challenges. You will be focused on Algorithms, Data structures and Multiprocessing while developing new features and services of our AI.

    Technologies used:

    • Python / Django / Flask
    • Amazon AWS / Git /
    • Relational database (PostgreSQL, etc.)
    • Non-relational database (MongoDB, CouchBase)
    • ML libraries (Tensorflow, Gensim, Pytorch, Numpy, SKlearn, etc.)
    • Continuous Integration / Continuous Delivery
    • Service oriented Architecture / Microservices

    Job Responsibilities:

    • Software development – specification, planning, implementation
    • Self-management
    • Close collaboration with research team
    • Driving innovation
    • Working in an agile process in a distributed team with limited connectivity
    • Debugging and fixing problems in the existing code
    • Ensuring up to date, high-quality documentation
    • Ensuring project delivery on time
    • Participation in the full process until product delivery
    • Develop your own skills and take responsibilities for your own personal development in the field.

    Skills and Experience Required:

    • Solid understanding of algorithms and data structures
    • Solid understanding of multiprocessing / multithreading
    • Bachelor’s degree in Computer Science, AI or similar
    • Operations with streams of data (data streaming)
    • Knowledge of at least one of the following ML libraries (Tensorflow, Gensim, Pytorch or similar)
    • Ability to learn new technologies quickly
    • Ability to work in a distributed team environment
    • At least 3 years of experience in software development with Python
    • Proficient analytical / problem-solving skills
    • Fluent English

    Great if you also have:

    • Experience with AWS, setting up data pipelines, operation with big amounts of data
    • Knowledge and interest in Math and Statistics
    • Web development
    • Participation in research projects

    LIFE AT IRIS OFFERS:

    Job Value

    • A job with immense value – global mission, changing the course of Science
    • A futuristic mix of AI , Engineering and Science
    • An international team of Aces – highly intelligent and versatile engineers + experienced entrepreneurs

    Compensation Package & Perks:

    • Competitive salary
    • Annual Salary Review
    • Share incentivization plan

    Work-Life Balance:

    • 30 days annual paid vacation + bonus days. Yes, for real!
    • Flexible work hours
    • Flexible work location – You choose where to work from
    • Hybrid model or 100% remote work – You want it? – You have it!
    • Regular Team retreats internationally
    • Seasonal Working get-togethers (summer / winter)
    • Personal equipment reimbursement program
    • Charity and volunteer activities
    • Employee Recognition program
    • Free MultiSport card
    • Cool Sofia office in a central location
    • Private Health Insurance – premium package
    • Bi-annual health checks

    Professional Development:

    • Career Enhancement plan
    • Knowledge transfer
    • New Technologies Introduction & Learning opportunities
    • Mentorship opportunities
    • Workshops, Conferences, Hackatons, Tech Deep Dives (internal & external)
    • Freedom to bring innovation and your ideas to life

    So, are you ready to fight Science’s biggest challenges with technology?

    Join us!