Job Description

MLOps and Data Engineer

We are hiring for a fast-growing well funded 25 person start-up at the forefront of generative video technology. We’re looking for a Senior MLOps & Data Engineer to join their growing team.

What You'll Do

• Own and evolve our ML data and training pipelines — from ingestion to deployment — ensuring they are scalable, efficient, and reliable
• Build, deploy, and maintain distributed training jobs (e.g. with Megatron or other frameworks) across multi-node clusters
• Design and manage robust data processing workflows, supporting both real-time and batch operations
• Collaborate closely with research and engineering teams to bring ML models from prototype to production
• Optimize inference pipelines for low-latency, cost-effective serving
• Monitor and improve system performance, reliability, and security across the ML lifecycle

Key Qualifications

• 4+ years of experience in MLOps, ML infrastructure, or data engineering roles
• Hands-on experience deploying and maintaining distributed training jobs on GPU clusters
• Deep understanding of MLOps best practices and tools (CI/CD for ML, experiment tracking, versioning, etc.)
• Strong experience with AWS or GCP
• Proficiency in Python and common data/ML tooling (e.g., PyTorch, TensorFlow, Airflow, Kubeflow, etc.)
• Experience with inference optimization for large models, focusing on latency, throughput, and cost
• Strong systems design skills, including distributed systems, orchestration, and monitoring
• Bonus: Experience with Megatron , TPU/GPU optimization , or similar large-model training frameworks

Please apply for more details

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