We are looking for experienced professionals in DevOps for a Senior DevOps position to work on a project in the AI Solutions Architecture team.
Responsibilities:
- Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.
- Lead the evaluation and selection of AI technologies (e.g., OpenAI, Anthropic, Hugging Face) to optimize performance, cost, and latency.
- Architect robust frameworks for Retrieval-Augmented Generation (RAG) and agentic workflows, enhancing model accuracy and relevance.
- Establish best practices for MLOps and LLMOps, ensuring seamless CI/CD for AI models and maintaining rigorous version control.
- Collaborate with Data Scientists, Backend Engineers, and Product Leads to translate business goals into high-impact AI features.
- Implement security protocols and ethical guardrails for AI usage, focusing on data privacy, bias mitigation, and cost management.
Requirements for this challenge:
- A degree in Computer Science, Engineering, or a related field.
- Extensive experience as a DevOps Engineer with a focus on platform architecture and designing scalable infrastructure solutions.
- Experience with .Net and Terraform.
- Proficiency in building and optimizing CI/CD pipelines using Bitbucket, with an emphasis on automation and efficiency.
- Strong scripting and automation skills (Python, Bash, or similar) for creating scalable solutions.
- Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Deep knowledge of cloud ( AWS, Azure, or GCP)with expertise in infrastructure provisioning and management.
If you are passionate about driving innovation in AI and shaping the future of infrastructure, we would love to hear from you!
