
AI Solutions Architect
1 week ago
We are seeking a skilled MLOps & AI Developer who will be responsible for building and optimizing AI/ML infrastructure, designing end-to-end MLOps pipelines, and developing scalable AI solutions.
The ideal candidate will have deep expertise in software development, AI/ML infrastructure, and full-stack development, with strong experience in Python, Kubernetes, Docker, Terraform, and Azure.
- Key Responsibilities:
- Design and implement MLOps pipelines with CI/CD automation
- Build and optimize AI/ML infrastructure for model training, deployment, and monitoring
- Develop scalable AI solutions leveraging multiple LLMs, chunking, and embedding techniques
- Manage databases and indexing systems (PostgreSQL, MySQL, NoSQL)
- Drive hybrid cloud solutions alongside on-premise integration
- Collaborate with AI/ML developers, data scientists, and DevOps to deliver high-performing solutions
- Ensure security, networking, and performance optimization across systems
Our ideal candidate will possess the following skills and qualifications:
- 8-10 years of proven development experience with Python
- Strong MLOps background 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
What We Offer: The successful candidate will have the opportunity to work on cutting-edge AI projects, collaborate with a talented team, and contribute to the growth and success of our organization.
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