Solution Architect - Machine Learning & Cloud Computing (7-10 yrs)

Job Description :

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title : Solution Architect

Experience : 7-10 years

Location : Tokyo

Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python

Responsibilities :

- Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.

- Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.

- Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.

- Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.

- Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.

- Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.

- Contribute to the development of technical documentation and roadmaps.

- Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements :

- Proven experience (7-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.

- Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).

- Solid experience with Kubernetes for container orchestration and deployment.

- Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).

- Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.

- Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.

- Strong experience in designing scalable architectures and applications from the ground up.

- Experience with DevOps and automation tools for CI/CD pipelines.

- Excellent problem-solving skills and ability to work in a fast-paced environment.

- Strong communication skills and ability to collaborate with cross-functional teams.

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Preferred Skills :

- Experience with microservices architecture and containerization.

- Knowledge of distributed systems and high-performance computing.

- Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).

- Familiarity with Agile methodologies and Scrum.

- Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.