Senior Cloud AI Architect

4 days ago

Tiruchi, Tamil Nadu, India beBeeArtificial Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job OverviewWe seek an experienced and skilled AI developer to design, implement, and maintain scalable, secure, and efficient cloud solutions to our AI initiatives.
  • Understand specific requirements including data ingestion from different services, analytics needs, and user-facing application features.
  • 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 solutions from data collection and ML model deployment to web access, with a focus on automation and resilience.
  • Collaborate with cross-functional teams to 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.
  • Optimize algorithms for performance, scalability, and accuracy.
  • 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.
Required Skills and Qualifications
  • 6-8 years of experience in AI/ML development.
  • Hands-on expertise in AI/ML frameworks like TensorFlow, PyTorch, or Keras.
  • Hands-on expertise in Python, Java, or similar programming languages.
  • Experience in cloud platforms AWS, Azure, or similar for deploying AI models.
  • Expertise in NLP, deep learning, and 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, IT, Engineering, or AI, Machine Learning, Data Science is a must.
Preferred Experience
  • Experience with MLOps and model deployment pipelines.
  • Containerization (Docker, Kubernetes).
  • Serverless architectures (Lambda/Functions).
  • Experience working in Agile/Scrum environments.
  • Experience with disaster recovery and enterprise-level high availability.

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