Machine Learning Infrastructure Leader

19 hours ago

Aligarh, Uttar Pradesh, India beBeeSenior Full time ₹ 2,80,00,000 - ₹ 3,20,00,000

We are seeking a Senior Machine Learning Engineer to lead the development and deployment of AI infrastructure. The ideal candidate will have expertise in cloud platforms, Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow.

Key Responsibilities:

  • Design and implement scalable machine learning pipelines for large language models, computer vision, and multimodal models
  • Develop and maintain model serving, versioning, automated continuous integration/continuous deployment, and real-time monitoring of AI workflows
  • Build and optimize GPU-backed serving infrastructure targeting low latency, high uptime, and high GPU utilization
  • Implement model governance, automated drift detection, and data-management best practices
  • Integrate vector databases for low-latency semantic retrieval and build agentic workflows using LangChain or similar frameworks

Required Skills and Qualifications:

  • 9-14 years of experience in software engineering, including at least 4 years in machine learning operations or machine learning 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.)

Preferred Skills and Qualifications:

  • Master's or PhD in Computer Science or Artificial Intelligence and certifications such as AWS ML Specialty, Google Cloud Professional ML Engineer, or CNCF CKA/CKAD
  • Prior experience at AI-focused startups or enterprises scaling machine learning for 100-500 organizations
  • Understanding of low-latency streaming inference or agent-based large language model systems

Benefits:

  • Mentor junior engineers and contribute to the growth of the team
  • Partner with researchers, product managers, and legal to align MLOps standards with compliance and roadmap goals

Others:

  • Must be able to communicate effectively with cross-functional teams

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