Senior Mlops

We're seeking an experienced DevOps / LLMOps or MLOps / LLMOps Engineer to design, deploy, and maintain the infrastructure supporting Large Language Model (LLM) platforms.

This role blends DevOps best practices with AI / ML expertise, with a focus on building and scaling agentic AI systems that integrate directly with LLMs.

You'll drive development of intelligent, autonomous agents while ensuring reliability, scalability, and performance across training, fine-tuning, and deployment pipelines.English fluency is a MUST for this role Only candidates with level C1 or C2 will be considered : A1 BeginnerA2 ElementaryB1 IntermediateB2 Upper-IntermediateC1 AdvancedC2 ProficientResponsibilitiesOwn strategy and execution of agentic AI systems using LLMs and autonomous decision-making componentsBuild prototypes and scale them into MVPs demonstrating real-world AI viabilityCollaborate with engineering and product teams to embed LLM agents into user-facing featuresDesign and manage CI / CD pipelines for LLM training and deployment workflowsProvide technical leadership on DevOps, security, and deployment strategies for AI / ML modelsRequirements5+ years building and deploying ML or GenAI systems in production, with strong architectural and systems-level ownership2+ years of proven experience with LLM integration, LLM-based agents, or autonomous reasoning systemsEnd-to-end AI / ML delivery : data prep, training, evaluation, deployment, monitoringCloud expertise (AWS, GCP, or Azure) with CI / CD pipelines, multi-tenant deployments, and infrastructure automationExperience with Databricks and familiarity with Langchain / GenAI toolkitsStrong agility and ability to deliver in fast-moving product environmentsNice To HaveAdvanced degree (MS / Ph.D.) in ML, Computer Science, or related fieldDeep expertise in DevOps / MLOps practices and scaling secure, enterprise-grade AI workflowsBroader data engineering knowledge, especially in DatabricksBackground in aviation industry