Description

Architect and build scalable generative AI solutions using LLMs and distributed systems.

This role is on-site.

Responsibilities

• Architect and develop scalable, distributed machine learning platforms for enterprise use cases.
• Build AI pipelines for data preprocessing, feature extraction, model training, and deployment.
• Optimize generative AI models for scalability, performance, and operational efficiency.
• Lead technical discussions and guide project teams on AI engineering best practices.
• Document technical specifications and communicate complex AI concepts to stakeholders.

Required Skills

• Strong programming expertise in Python for AI/ML and data-driven applications.
• Hands-on experience with Generative AI, LLMs, and Transformer-based architectures.
• Expertise in NLP frameworks including BERT, RoBERTa, GPT, SpaCy, NLTK, and Hugging Face.
• Strong experience with TensorFlow, PyTorch, and Keras.
• Knowledge of deep learning concepts: GANs, VAEs, self-supervised learning, and reinforcement learning.
• Experience building scalable AI pipelines and distributed systems.
• Ability to optimize models for performance, latency, and efficiency.

Preferred Skills

• Experience with AWS and Azure cloud platforms for AI/ML deployment.

Key Skills

Education

Any Graduate