
AI Architect
15 hours ago
We are seeking a seasoned expert to spearhead the design, implementation, and maintenance of cutting-edge cloud solutions for our AI initiatives. The ideal candidate should possess expertise in Natural Language Processing (NLP), Predictive Analysis, and other AI domains.
The successful individual will be responsible for analyzing specific requirements including data ingestion from various services, analytics needs, and user-facing application features. They will lead technical discussions with cross-functional teams to evaluate feasibility, define specifications, and assess performance and scalability for solutions.
The key responsibilities of this role include defining and designing software architecture for integrating data pipelines, ML models, and full-stack applications. The candidate will also drive deployment of end-to-end solutions from data collection and ML model deployment to web access, with a focus on automation and resilience.
In addition, the candidate will collaborate with cross-functional teams to design and deliver applications combining real-time data, machine learning, and cloud-native full-stack platforms. They will also design, develop, and deploy scalable AI/ML models and systems to solve complex business problems across AWS and Azure.
The ideal candidate will have hands-on expertise in AI/ML frameworks like TensorFlow, PyTorch, or Keras, as well as experience in cloud platforms like AWS, Azure, or similar. They will also have expertise in NLP, deep learning, and other AI domains, and excellent problem-solving and collaboration skills.
This is an exciting opportunity for a talented AI developer to contribute to the development of innovative AI solutions. If you are passionate about AI and have the required skills and experience, please apply for this role.
- Key Responsibilities:
- Design and implement AI solutions using cloud platforms
- Develop and deploy scalable AI/ML models and systems
- Collaborate with cross-functional teams to design and deliver applications
- Evaluate feasibility and define specifications for solutions
Required Skills and Qualifications:
- AI/ML Frameworks: TensorFlow, PyTorch, Keras
- Cloud Platforms: AWS, Azure, GCP
- NLP and Deep Learning: Experience in NLP, deep learning, and other AI domains
- Problem-Solving and Collaboration: Excellent problem-solving and collaboration skills
Benefits:
- Opportunity to work on cutting-edge AI projects
- Collaborative team environment
- Professional growth and development opportunities
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