Senior Machine Learning Engineer

Execute software engineering tasks to support end-to-end machine learning operations, with a focus on scaling workflows for large data and distributed systems.

Design, build, and maintain MLOps systems, including microservices, queuing systems, APIs, and orchestration workflows using Python, Kubernetes, Kafka, and modern database systems.

Implement observability tools such as Prometheus and Grafana to ensure reliability, performance, and visibility of ML systems in production.

Collaborate closely with data scientists and machine learning engineers to streamline workflows for LLM, generative AI, and Agentic AI development and deployment.

Review architecture and implementation plans to ensure alignment with organizational goals, scalability, and best practices.

Mentor junior and mid-level engineers, fostering a culture of collaboration, innovation, and operational excellence.