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AI Solutions Architect

2 weeks ago


Anand, Gujarat, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000

We are seeking an experienced AI developer to design, implement, and maintain scalable, secure, and efficient cloud solutions to our AI initiatives. This role involves designing software architecture for integrating data pipelines, ML models, and full stack applications.

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  • Understanding specific requirements including data ingestion from different services, analytics needs, and user-facing application features.
  • Lead technical discussions with cross-functional teams (e.g., hardware, cloud, analytics) to evaluate feasibility, define specifications, and assess performance and scalability for solutions.
  • 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.
  • Optimize algorithms for performance, scalability, and accuracy.
  • Evaluate and select appropriate AI tools, frameworks, and platforms.
  • Work on data preprocessing and model evaluation.
Required Skills
  • A minimum of 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 required.
Preferred Experience
  • Experience with MLOps and model deployment pipelines.
  • Containerization using Docker, Kubernetes/EKS/AKS.
  • Serverless architectures using Lambda/Functions.
  • Experience working in Agile/Scrum environments.
  • Experience with disaster recovery and enterprise-level high availability.