Senior Machine Learning Engineer

Description

The Japanese manufacturing industry is estimated to be worth 180 trillion yen yet many manufacturers and their suppliers are unable to fully demonstrate their development potential and technological capabilities because they are hindered by quotations and administrative tasks, as well as a lack of sales force and accurate information.

Our client's mission is to remove those restrictions in various aspects of the industry and unleash each company’s potential to the fullest by leveraging technology and driving digital transformation.

Our client makes enterprise software that aims to reflect and inform each user’s on-the-ground operations. Understanding their operating process and its components, then selecting suitable data design and structure thereby helping to redefine and optimize their tasks.


Responsibilities

• Leveraging existing data assets to discover new value for the corporation
• Analysis of base data to obtain hypotheses concerning business and operational improvement
• Developing new user-facing features that combine CADDi's domain expertise, data assets, and operational excellence

Qualifications

• An understanding our mission to unleash the potential of manufacturing
• 3+ years of experience utilizing machine learning methods to solve business problems
• Experience delivering services in a production environment in the cloud (AWS, GCP, Azure, etc)
• Self-driven, and can operate both independently and also as a team member
• Able to exercise strong problem solving skills to deliver customer value
• Strong fundamental skills in linear algebra, calculus, and statistics
• Experience in application development or analysis work with Python, MATLAB, or R
• Experience with machine learning frameworks (PyTorch, Tensorflow, scikit-learn, LightGBM, etc)
• Experience using SQL for data analysis
• Experience using version control systems such as Git
• Proficiency in English

Preferred Qualifications

• Experience with GPU-based data processing (CUDA, OpenCL, etc)
• Experience working with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
• Past participation in data analysis contests such as Kaggle
• Comfortable reading research papers from major journals
• Experience utilizing numerical optimization methods (continuous, discrete, or combinatorial)

For overseas candidates

• Relocation support is available
• Visa support is available
• Japanese language educational support is available