AI Infrastructure Specialist

3 days ago

Rajahmundry, Andhra Pradesh, India beBeeMLOperative Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
About the MLOps Role

We're looking for a seasoned professional to lead our AI infrastructure design, implementation, and scaling. The ideal candidate will collaborate with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency.

Key Responsibilities
  • MLOps Engineering
  • Serving Models
  • GPU-Backed Serving Infrastructure
  • Model Governance and Drift Detection
  • Low-Latency Semantic Retrieval and Agentic Workflows
  • RAC-Driven Isolated ML Services
  • Prometheus/Grafana Dashboards and ELK/Fluentd Logging Pipelines
  • Ci/Cd Pipelines for Python and TypeScript

This role requires strong expertise in cloud platforms, Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow, as well as experience with inference frameworks and distributed training. Proficiency in Python, TypeScript, and infrastructure-as-code is also essential. A proven track record of building reliable, scalable ML systems in production is required.

Requirements
  • 9–14 years in software engineering, including ≥ 4 years in MLOps or ML infrastructure.
  • Strong expertise in cloud platforms (AWS/GCP/Azure), Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow.
  • Experience with inference frameworks (Triton, TensorFlow Serving, BentoML, TorchServe).
  • Familiarity with distributed training, workload schedulers, and GPU-cluster orchestration.
  • Proficiency in Python, TypeScript, and infrastructure-as-code (Terraform, Helm, etc.).
Skills and Qualifications
  • Vector DB Integration (Qdrant, Pinecone)
  • Agent Orchestration (LangChain, LlamaIndex)
  • Multi-Tenant Security and RBAC
  • Observability Stacks (Prometheus/Grafana, ELK)
  • Ci/Cd for FastAPI/NestJS services

A successful candidate will have a strong passion for innovation and a drive to stay up-to-date with the latest advancements in MLOps and AI. They will be an excellent communicator and team player who can work effectively with cross-functional teams to achieve business objectives.

Please note that this job description is subject to change based on business needs.

The ideal candidate will have a strong understanding of MLOps concepts, including model serving, versioning, automated CI/CD, and real-time monitoring of AI workflows. They will also have hands-on experience with cloud platforms, containerization, and orchestration tools.

What We Offer

We offer a dynamic and collaborative work environment that fosters growth and development. Our team is passionate about innovation and committed to delivering high-quality solutions that meet our customers' needs.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are a motivated and talented individual who is passionate about MLOps and AI, we encourage you to apply for this exciting opportunity.

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