Robert Walters 4.3 ★

Are you ready to take your Machine Learning skills to the next level? Join a dynamic team where innovation meets cutting-edge technology. As a Machine Learning Engineer, you'll be at the forefront of developing and deploying advanced models, driving the future of AI-powered solutions. If you're passionate about solving real-world challenges with machine learning and data science, this is the opportunity you've been waiting for!

🔍 Key Responsibilities:

• Model Development & Deployment: Train, evaluate, and deploy state-of-the-art machine learning models to enhance a cutting-edge drawing search system.
• End-to-End Development: Be involved in every stage-design, develop, test, deploy, and iterate.
• Collaboration: Work across teams to solve complex challenges and bring innovative solutions to life.
• Continuous Optimization: Monitor and improve the accuracy of models in production.

🚀 Success in this role means:

• Creating image recognition models that transform drawings into actionable data.
• Using large-scale language and visual models to push the boundaries of AI.
• Collaborating closely with data science teams to turn prototypes into production-grade models.
• Driving engineering excellence and elevating product quality.

💡 What You'll Gain:

• Hands-on experience tackling complex technical challenges with a passionate, expert team.
• A close working relationship with MLOps and product management teams, offering opportunities to expand your role and impact.
• Exposure to both cutting-edge technology and strategic business decisions.

🎯 What We're Looking For:

• Minimum 3 years of experience in a similar position
• Strong foundation in machine learning, algorithms, statistics, and computer science.
• Proven experience in deploying machine learning models in production environments.
• Hands-on experience with cloud services (Google Cloud, AWS) and improving model accuracy.
• Business-level communication in English.

💼 Bonus Points For:

• Experience with image recognition, OCR, or 3D analysis.
• Familiarity with GPU-based data processing (CUDA, OpenCL) and distributed systems.
• Knowledge of Vertex AI Pipeline, Kubeflow, Spark, and related ML tools.
• Business-level proficiency in Japanese.

🔧 Our Tech Stack Includes:

• Languages: Rust, TypeScript, Python
• Frameworks: React, Next.js, PyTorch
• Cloud: Google Cloud, Kubernetes, BigQuery
• CI/CD: GitHub Actions, Terraform
• Monitoring: Datadog, Sentry

Ready to make an impact? 🚀 Apply today and be part of something extraordinary!

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.