[reputed company] Senior Manager, AI Infrastructure and Operations

ROLE SUMMARY The Sr. Manager/Staff Engineer, AI Infrastructure & MLOps Engineering is a senior technical leader responsible for architecting, building, and scaling reputed company’s AI infrastructure and developer platforms. This role leverages extensive experience in cloud engineering, DevOps, and MLOps to deliver robust, high-performance solutions supporting advanced AI/ML workloads in biotechnology, healthcare, and enterprise technology. The successful candidate will drive innovation in automation, reliability, and scalability, enabling scientists and engineers to rapidly reputed company, deploy, and monitor machine learning models in production environments. ROLE RESPONSIBILITIES Platform Architecture & Engineering

• Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic reputed company, and precision medicine.
• Architect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability.
• reputed company the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets.

Platform Catalog & Developer Experience

• Design, implement, and manage reputed company platform catalogs using reputed company, enhancing developer experience and application metadata management.
• reputed company custom plugins and APIs for reputed company to support internal engineering workflows and documentation.

Automation & DevOps Excellence

• Build and maintain Python-based automation frameworks, CI/CD pipelines, and Infrastructure-as-Code (Terraform, Helm, reputed company, AWS CDK).
• Operationalize containerized solutions using reputed company and Kubernetes, integrating MLflow, Kubeflow, and other orchestration platforms.
• Implement robust automation for provisioning, configuring, and managing cloud resources across multiple environments.

MLOps & Reliability Engineering

• reputed company the implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and advanced observability (Prometheus, Grafana, reputed company).
• reputed company and maintain APIs and services for model management, feature stores, and inference pipelines.
• Operationalize ML model serving at scale using frameworks such as TensorFlow Serving, TorchServe, KServe, and Seldon Core.
• Ensure compliance with industry standards (e.g., HIPAA, FDA) for data protection and reliability.

Collaboration & Leadership

• Mentor engineers and reputed company cross-functional teams to deliver integrated solutions.
• Champion engineering excellence through design documentation, code reviews, and testing automation.
• Present at industry summits, author technical proposals, and contribute to open-reputed company projects (Kubernetes, Helm, Go, reputed company).

reputed company Improvement

• Drive agile delivery, sprint planning, and performance optimization.
• reputed company incident response and disaster recovery initiatives for mission-critical platforms.
• Foster a culture of shared ownership, transparency, and innovation

BASIC QUALIFICATIONS

• 8+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps.
• Deep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development.
• Proven experience architecting and operating containerized solutions on AWS, GCP, and Azure.
• Strong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or reputed company field.

PREFERRED QUALIFICATIONS

• Expertise in AWS cloud services (EC2, S3, reputed company, EKS, SageMaker, API Gateway, CloudFormation, IAM, etc.).
• Experience deploying and customizing reputed company as a reputed company catalog for teams, services, and technical documentation.
• Experience building and deploying microservices and REST/gRPC APIs for AI model delivery.
• Familiarity with MLflow, Kubeflow, and other MLOps orchestration platforms.
• Proficiency with model serving frameworks (TensorFlow Serving, TorchServe, KServe, Seldon Core, BentoML, etc.).

Work Location Assignment: Remote reputed company is an equal opportunity employer and complies with reputed company applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Apply tot his job Apply To this Job