Cloud AI Solutions Architect

2 days ago

Udaipur, Rajasthan, India beBeeArtificialIntelligenceEngineer Full time US$ 1,00,000 - US$ 1,50,000
Job Title: AI Developer

We are seeking a skilled Artificial Intelligence Engineer to design, implement, and maintain scalable, secure, and efficient cloud solutions to our AI initiatives. The ideal candidate should have experience in NLP, predictive analysis, and more.

The role involves understanding specific requirements including data ingestion from different services, analytics needs, and user-facing application features. We also seek someone who can lead technical discussions with cross-functional teams to evaluate feasibility, define specifications, and assess performance and scalability for solutions.

  • Data Ingestion and Analysis: Understand specific requirements including data ingestion from different services, analytics needs, and user-facing application features.
  • Technical Discussions: Lead technical discussions with cross-functional teams to evaluate feasibility, define specifications, and assess performance and scalability for solutions.
  • Software Architecture: Define and design software architecture for integrating data pipelines, ML models, and full-stack applications.
  • Solution Deployment: Drive deployment of end-to-end solutions from data collection and ML model deployment to web access with a focus on automation and resilience.
  • Collaboration: Collaborate with cross-functional teams to design and deliver applications combining real-time data, machine learning, and cloud-native full-stack platforms.
  • AI/ML Development: Design, develop, and deploy scalable AI/ML models and systems to solve complex business problems (across AWS and Azure).
  • Algorithm Optimization: Optimize algorithms for performance, scalability, and accuracy.
  • Ai Tool Selection: Evaluate and select appropriate AI tools, frameworks, and platforms.
  • Data Preprocessing: Work on data preprocessing and model evaluation.

Required Qualifications

· 6-8 years in AI/ML development.

· Hands-on expertise in AI/ML frameworks like TensorFlow, 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.

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