Experienced Machine Learning Developer (mlops)

Boeing Aerostructures Australia

Bengaluru, India
**
Mlops and aiops architectures
Cloud native services (aws, azure, gcp)
Generative ai and ai use cases
** Boeing Aerostructures Australia is looking for an experienced Machine Learning Developer (MLOps) to join their team in Bengaluru, India. The role involves designing and implementing scalable machine learning systems and solutions, requiring strong expertise in cloud technologies, MLOps, and collaboration with cross-functional teams. **

Job Summary

  • Design and Build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives.
  • Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks.
  • Join us in shaping the future of our cloud and data strategy and powering the progress of global aerospace.

Matching Summary

Match Score: 75

** Boeing Aerostructures Australia is looking for an experienced Machine Learning Developer (MLOps) to join their team in Bengaluru, India. The role involves designing and implementing scalable machine learning systems and solutions, requiring strong expertise in cloud technologies, MLOps, and collaboration with cross-functional teams. **

Skills & Requirements

Must-have

  • MLOps and AIOps architectures
  • Cloud native services (AWS, Azure, GCP)
  • Generative AI and AI use cases
  • CI/CD pipelines for ML
  • Containerization (Docker, Kubernetes)
  • Infrastructure as Code (Terraform)

Nice-to-have

  • Manufacturing and Aviation experience
  • Event-driven, cloud-agnostic architectures
  • AI/ML-driven observability
  • Cost optimization strategies (FinOps)

Key Requirements

  • 5+ years of experience in designing and deploying ML workloads
  • 3+ years of experience with MLFlow, Kubeflow, SageMaker, Vertext AI or Databricks ML Runtime
  • 5+ years of progressive experience in DevOps and cloud platform operations
  • 3+ years of hands-on experience designing, implementing, and managing multi-cloud CI/CD pipelines
  • 3+ years of experience in Infrastructure as Code (IaC)
  • 3+ years of experience implementing observability, monitoring, and tracing frameworks
  • 3+ years of experience applying FinOps and cost optimization strategies
  • 3+ years of experience in implementing security controls
  • Bachelor's degree

Work Rights

Not specified

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