Description

Lead technical decision-making for end-to-end AI projects, ensuring solutions are scalable, maintainable, and cost-effective.

Responsibilities

• Drive technical strategy and architecture for generative AI initiatives.
• Monitor and optimize models using GANs, VAEs, and Transformers to implement improvements.
• Develop end-to-end AI solutions for real-world applications.
• Collaborate with customers and stakeholders to provide actionable consulting guidance.
• Prioritize pragmatic problem-solving for complex technical challenges.

Required Skills

• 5+ years of experience in AI/ML development and architecture.
• Expertise in generative AI techniques including GANs, VAEs, and Transformer models.
• Proficiency with TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with ChatGPT LLM, Databricks, and ML Flow.
• Hands-on experience with Azure cloud ecosystem and Driver H20.
• Strong knowledge of Cloud Computing and SOA.
• Proven track record in customer-facing consulting roles.
• Bachelor's degree in computer science, engineering, or a related field.

Key Skills

Education

Any Graduate