Cloud Artificial Intelligence Solutions Architect

1 week ago

Kottayam, Kerala, India beBeeAI Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Cloud AI Solutions Architect

 

We are seeking an experienced and skilled Cloud AI Solutions Architect to join our team. The ideal candidate will have expertise in designing, implementing, and maintaining scalable and secure cloud solutions for AI initiatives.

 

Responsibilities:

  • Lead technical discussions with cross-functional teams to evaluate feasibility, define specifications, and assess performance and scalability for solutions.
  • Define and design software architecture for integrating data pipelines, ML models, and full stack applications.
  • Drive deployment of end-to-end– from data collection and ML model deployment to web access – with a focus on automation and resilience.
  • Collaborate with cross functional teams, design and deliver applications combining real time data, machine learning and cloud native full stack platforms.
  • Design, develop and deploy scalable AI/ML models and systems to solve complex business problems (across AWS and Azure).
  • Evaluate and select appropriate AI tools, frameworks, and platforms.
  • Work on data preprocessing and model evaluation.
  • Ensure AI systems comply with standards.
  • Contribute to code reviews, documentation, and technical presentations.

 

Qualifications:

  • 6-8 years in AI/ML development.
  • Hands-on expertise in AI/ML frameworks like TensorFlows, PyTorch, Keras or similar.
  • Hands-on expertise in Python, Java or similar.
  • Experience in cloud platforms AWS, Azure or similar for deploying AI models.
  • Expertise in NLP, deep learning other AI domains.
  • Understanding of data structures, algorithms and software engineering principles.
  • Excellent problem-solving and collaboration skills.
  • Bachelor's or Master's degree in CS or IT, Engineering, or AI, Machine learning, Data Science is a must.

 

Preferred Experience:

  • Experience with MLOps and model deployment pipelines.
  • Containerization (Docker, Kubernetes/EKS/AKS).
  • Serverless architectures (Lambda/Functions).
  • Experience working in Agile/Scrum environments.
  • Experience with disaster recovery and enterprise-level high availability.

 

This role requires a strong understanding of AI/ML concepts, cloud computing, and software development principles. If you have experience in designing and implementing scalable AI solutions, we encourage you to apply.

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