
Data Science Solutions Architect
1 day ago
We are seeking a highly skilled Data Science Solutions Architect to join our team. The ideal candidate will have deep expertise in software development, AI/ML infrastructure, and full-stack development.
Key Responsibilities:
- Bulk and optimize AI/ML infrastructure for model training, deployment, and monitoring.
- Design and implement end-to-end data pipelines with CI/CD automation.
- Develop scalable AI solutions leveraging multiple large language models (LLMs), chunking, and embedding techniques.
- Manage databases and indexing systems (PostgreSQL, MySQL, NoSQL).
- Drive hybrid cloud solutions (primarily Azure) alongside on-premise integration.
- Build front-end AI applications using Angular and related technologies.
- Collaborate with AI/ML developers, data scientists, and DevOps to deliver high-performing solutions.
Requirements:
- 8-10 years of proven development experience with Python.
- Strong background in data science with Kubernetes, Docker, Terraform, and Azure.
- Hands-on experience with hybrid cloud and on-premise infrastructures.
- Database management skills (SQL & NoSQL).
- Front-end development proficiency with Angular, TypeScript, HTML, and CSS.
- Solid understanding of networking, security, and system optimization.
About This Role:
This is an immediate requirement. We seek candidates who are available to join within 15 to 30 days.
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