Description

Lead the design, development, and deployment of scalable AI/ML applications, focusing on Large Language Models (LLMs) and enterprise integration.

This role is on-site.

Responsibilities

• Architect and deploy high-performance LLM-based applications using Python, R, or Java.
• Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific business use cases.
• Implement MLOps practices using LangChain, LlamaIndex, and Ragas for model deployment and monitoring.
• Build applications leveraging Natural Language Processing (NLP) and Computer Vision.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Required Skills

• 10+ years of experience in AI/ML development and implementation.
• Proficiency in Python, R, or Java.
• Expertise in deep learning frameworks: TensorFlow, PyTorch, or Keras.
• Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E).
• Knowledge of MLOps practices and tools.
• Experience with cloud platforms: AWS, GCP, or Azure.
• Hands-on experience with Docker and Kubernetes.
• Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, or Google Vertex AI.

Preferred Skills

• Experience with AI/ML APIs and cloud AI services (Google AI, Azure AI, AWS SageMaker).
• Contributions to AI/ML research, including publications or conference presentations.

Key Skills

Education

Any Graduate