Description

Key Skills: Python, AWS, TensorFlow, PyTorch, Generative AI.

Roles and Responsibilities:

  • Architect and design scalable, production-grade AI/ML systems and data pipelines.
  • Collaborate with business and technical stakeholders to scope ML, DL, NLP, and Computer Vision use cases.
  • Lead selection and implementation of appropriate ML frameworks/tools (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Provide technical leadership in model development, training, deployment, and monitoring.
  • Define and implement MLOps strategies including CI/CD, model versioning, retraining, and governance.
  • Optimize solutions for performance, scalability, and compliance.
  • Partner with data engineering teams to build reliable data pipelines and feature stores.
  • Mentor junior engineers and champion AI/ML best practices.
  • Continuously evaluate emerging AI technologies to foster innovation.
  • Contribute to technical documentation and architecture governance.

Experience Requirement:

  • Experience Required: 4 to 10 years.
  • Minimum 4 years in relevant AI/ML roles.
  • Proven experience in model development, deployment, and MLOps implementation.
  • Hands-on expertise in Python programming and usage of ML/DL frameworks.
  • Previous contributions to end-to-end AI solution delivery in cloud environments.

Education: Any Graduation

Key Skills
Education

Any Graduate

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