Machine Learning Specialist
3 weeks ago
In our quest to contribute to sustainability, we integrate these principles into our entire workflow, which includes planning, designing, and development processes. We firmly believe that digital solutions can, and indeed should, be designed in a manner that respects and supports the long-term health of our planet.
We are seeking a highly skilled professional who is passionate about machine learning and eager to take on challenging projects that push the boundaries of AI technology. In this role, you will have the opportunity to apply cutting-edge machine learning techniques to solve complex problems and drive innovation in specialized domains.
Key Responsibilities:
Study and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tun the test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksKeep abreast of developments in the field
Qualifications:
Proven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in Python, Java and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
Perks:
Tools: A dedicated Apple MacBook (Apple silicon-based) will be provided during your employmentExposure: Get an opportunity to work with Japanese teammatesAmenities: Enjoy free snacks & beverages at the officeFlexibility: Benefit from flexible work hours and an informal dress codeWork Week: A 5-day workweek schedule
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