Cloud Solution Architect _Resource ML, Cloud, Python,
at Client Located in Bangalore Location
Kubernetes
Docker
Amazon Web Services (AWS)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 ML, Cloud
Experience:5-10 years
Client Location: Bangalore
Work Location: Tokyo, Japan (Onsite)
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 (ML, Cloud)
Location: Tokyo, Japan (Onsite)
Experience: 5-10 years
Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.
Key Responsibilities:
Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.
Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.
Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.
Design and optimize algorithms to improve performance, scalability, and reliability of solutions.
Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.
Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.
Contribute to the development of technical documentation and solution roadmaps.
Stay up-to-date with emerging technologies and continuously improve solution design processes.
Required Skills & Qualifications:
5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.
Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).
Solid experience with Kubernetes for container orchestration and deployment.
Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.
Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).
Strong knowledge of scalable architecture design and cloud-native application development.
Familiarity with CI/CD tools and DevOps practices.
Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.
Strong communication and collaboration skills with cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Qualifications:
Experience with microservices and containerization.
Knowledge of distributed systems and high-performance computing.
Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
Familiarity with Agile methodologies and Scrum.
Japanese language proficiency is an added advantage (but not mandatory).
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 5-10 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.
Subodh Popalwar
Software Engineer, Memorres
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PythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Follow CutshortSubodh Popalwar
Software Engineer, Memorres