Cloud AI Innovator

2 days ago

Nashik, Maharashtra, India beBeeCloudAI Full time ₹ 30,00,000 - ₹ 40,00,000
Job Opportunity:

We are seeking a highly skilled professional to lead the design and implementation of cutting-edge AI solutions.

Key Responsibilities:

  • Designing and developing AI-powered cloud infrastructures that prioritize scalability, performance, and reliability.
  • Integrating AI models into existing cloud applications to drive business growth and innovation.
  • Collaborating with stakeholders to understand business requirements and translate them into technical solutions.
  • Managing the deployment and maintenance of AI solutions to ensure seamless integration and optimal performance.
  • Identifying future AI needs and planning for the evolution of AI systems to stay ahead of the curve.
  • Working closely with data scientists, data engineers, and developers to implement AI solutions that meet business objectives.
  • Additional Considerations: Ensuring the responsible development and deployment of AI solutions by designing and implementing ethical AI frameworks, mitigating bias, and promoting fairness. Integrating AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring. Leveraging serverless AI services and edge AI for real-time, scalable applications. Collaborating on AI governance and compliance with evolving data privacy laws. Utilizing multi-cloud AI strategies and hybrid-cloud integration for flexibility and disaster recovery. Driving cost optimization of AI workloads via cloud resource tuning and autoscaling.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment.
  • Deep knowledge of AI/ML frameworks 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.
  • Excellent leadership and stakeholder management skills.

Desired Skills:

  • Advanced AI/ML certifications.
  • Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning.
  • Knowledge of emerging AI regulations and ethical AI standards.
  • Experience with container orchestration (Kubernetes) for scalable AI deployments.
  • Experience in hybrid and multi-cloud AI deployments.

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