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Solution Architect ML, Cloud
Client located in Bangalore location
Solution Architect ML, Cloud
Client located in Bangalore location 's logo

Solution Architect ML, Cloud

at Client located in Bangalore location

5 - 10 yrs
₹15L - ₹20L / yr
Remote, Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
Fullstack Developer
skill iconKubernetes

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: Remote, Bangalore, India (Onsite,Hybrid),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.

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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

Software Engineer, Memorres
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