AI Engineering & Operations Lead

Requirements:

• Expertise in operationalizing, optimizing, and deploying AI models and applications.
• Deep understanding of AI systems, encompassing both model development and integration into production environments.
• Experience with model lifecycle management, including training, validation, deployment, monitoring, and updates.
• Proficiency in designing robust AI pipelines and integrating services and vector stores.
• Experience in automating workflows and implementing self-healing systems.
• Solid understanding of CI/CD pipelines and infrastructure-as-code (IaC).
• Experience with monitoring, logging, and alerting tools.
• Proven ability to manage containerized environments and cloud platforms.
• Skills in system performance optimization, incident management, and root cause analysis.
• Experience in designing reusable operational frameworks and tools.
• Ability to lead multidisciplinary teams, fostering a collaborative and innovative environment.
• Proven track record of working with multi-functional teams to deliver sophisticated solutions.

What you'll be doing:

• Define and implement the vision and roadmap for AI Engineering & Operations.
• Drive the development and maintenance of scalable, resilient, and efficient AI systems.
• Lead the adoption of automation and standard processes for system reliability and performance.
• Build strong partnerships across teams to deliver AI-driven solutions.
• Cultivate a high-performing team by empowering individuals and fostering a collaborative environment.
• Champion the implementation of advanced tools and operational practices for system innovation and resilience.

Nice to haves:

• None specified

Perks and benefits:

• Not specified