Description

You will develop, optimize, and deploy machine learning models for document parsing, entity extraction, and information retrieval.

This role is on-site.

Responsibilities

• Develop and optimize ML models for document parsing, entity extraction, and information retrieval.
• Implement and fine-tune Generative AI models, including LLMs and VLMs, for specific business use cases.
• Build scalable AI pipelines for model training and inference.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise applications.
• Monitor model performance and contribute to continuous improvements based on latest research.

Required Skills

• 4+ years of experience in ML development.
• Hands-on experience with NLP, computer vision, and deep learning frameworks (TensorFlow/PyTorch).
• Proficiency in Python and ML libraries (Hugging Face, spaCy, OpenCV).
• Experience fine-tuning transformer-based models for document processing.
• Knowledge of cloud platforms including AWS, Azure, and GCP.
• Familiarity with MLOps best practices.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Strong problem-solving abilities and attention to detail.

Key Skills

Education

Bachelor's degree