Sr. Machine Learning Engineer Job at a Snaphunt Client in Japan

At Snaphunt, we believe that the future of work is remote. We specialize in helping our highly-skilled, global specialist talent community around the world, connect with innovative companies looking scale their global teams quickly and cost-effectively.

The Role

In this role, you will join the pioneer development team of our client in Japan and will report to the CTO. You will be responsible for:

• Conducting research, developing, and implementing machine learning systems for recommendation systems.
• Identifying the most effective algorithms and refining models to achieve peak performance.
• Assessing and analyzing the efficacy of models, recommending enhancements as needed.
• Integrating machine learning models into production. 
• Staying updated with industry knowledge on cutting-edge ML technologies and practices.
• Leading and managing crucial stages of the machine learning project lifecycle.

Ideal Profile

• You possess a Degree/Diploma in Computer Science, Engineering or related field and have at least 5 years of experience as a Machine Learning Engineer or Data Scientist with at least 2 years in a senior role.
• You have experience with Machine learning and statistics at scale, with the ability to apply these skills to new domains such as satellite-based remote sensing.
• You have experience leading engineering efforts while collaborating closely with cross-functional teams.
• You also have strong software engineering practices and a background in Python programming, debugging/profiling, version control, and system design.
• You have hands-on experience with at least one cloud provider, such as GCP, AWS, or Azure.
• You are comfortable with fast-paced execution and rapid iteration startup environment and are excited by the product impact.
• You have a passion for environmental sustainability and a desire to make a meaningful impact on the planet.

What's on Offer?

• Exciting opportunity with a pioneering social impact startup utilizing satellite data and AI to address global food crisis and climate change challenges.
• Be part of a passionate team creating a significant societal impact by tackling diverse, impactful challenges.