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Solution Architect - Machine Learning & Cloud
Client based at Bangalore location.
Solution Architect - Machine Learning & Cloud
Client based at Bangalore location.'s logo

Solution Architect - Machine Learning & Cloud

at Client based at Bangalore location.

8 - 11 yrs
₹20L - ₹40L / yr
Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
Cloud Computing
Fullstack Developer
skill iconKubernetes
skill iconPython
NOSQL Databases
Solution architecture
cloud architect
skill iconAmazon Web Services (AWS)
Azure
Google Cloud Platform (GCP)
skill iconMongoDB
Cassandra
DynamoDB
TensorFlow
PyTorch
DevOps
Microservices
Agile/Scrum

 

 

Job Title: Solution Architect

Work Location: Tokyo

Experience: 7-10 years

Number of Positions: 3

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.

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.

 

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar

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