Cloud Infrastructure Specialist

2 weeks ago

Hyderabad, Telangana, India beBeeCloud Full time US$ 1,25,000 - US$ 1,75,000

We are seeking a highly skilled Cloud AI Architect to design and implement cutting-edge AI-powered cloud infrastructures. The ideal candidate will have a deep understanding of cloud services, AI/ML frameworks, and MLOps tools.

Responsibilities:
  • Designing scalable and performant AI-powered cloud architectures
  • Integrating AI models into existing cloud infrastructure and applications
  • Ensuring alignment with business strategy through collaboration with stakeholders
  • Managing deployment and maintenance of AI solutions
  • Identifying future AI needs and planning for the evolution of AI systems

The successful candidate will have experience with cloud platforms, AI/ML frameworks, and MLOps tools. They will also possess excellent leadership and stakeholder management skills, as well as a strong understanding of data engineering concepts and cloud security standards.

We are looking for a motivated and experienced individual who can drive cost optimization of AI workloads through cloud resource tuning and autoscaling. If you have a passion for AI and cloud computing, we encourage you to apply for this exciting opportunity.

Required Skills and Qualifications:

  • Deep knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms
  • Proficient with cloud AI services: Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform
  • Experience with MLOps tools (Kubeflow, MLflow, Azure MLOps)
  • Strong programming skills in Python, R, or Java
  • Understanding of data engineering concepts and cloud data platforms
  • Familiarity with cloud security standards and data privacy regulations

Good-to-Have:

  • Advanced AI/ML certifications - Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer
  • Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning
  • Knowledge of emerging AI regulations and ethical AI standards

Benefits:

  • Opportunity to work on cutting-edge AI projects
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities

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