Solution Architect

2 weeks ago

Bengaluru, India Rohini IT Consulting LLP Full time

Job Title: Solution Architect -Machine Learning & Cloud

Experience: 7-10 years

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

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.
  • Bachelors or Masters 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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