AI/ML Infrastructure Engineer - Manifold Bio

Key Responsibilities Design, develop, and maintain scalable data pipelines for processing large protein‑design datasets using Python and AWS services. Implement containerized microservices with Docker and orchestrate them on Kubernetes clusters to ensure high availability and performance. Collaborate with computational scientists to integrate machine‑learning models into the production workflow, optimizing inference latency and throughput. Monitor system health, troubleshoot performance bottlenecks, and continuously improve infrastructure reliability. Document architecture, best practices, and operational procedures for cross‑team knowledge sharing. Requirements 3+ years of experience building production ML pipelines in a cloud environment. Proficiency in Python, AWS (S3, EC2, Lambda, SageMaker), Kubernetes, and Docker. Strong understanding of bioinformatics data formats and large‑scale data processing. Experience with CI/CD, monitoring, and logging tools (Prometheus, Grafana, ELK). Excellent problem‑solving skills and a collaborative mindset. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.