AI Engineer

About Job

We’re looking for a highly motivated AI Engineer  to help build and deploy intelligent systems. This role is ideal for candidates with strong experience in AI / ML, either through 3+ years of professional experience in the U.S.  or as a recent master's graduate in Engineering (CS, Computer, Electrical)  with an extensive AI portfolio. You will work on real-world applications using LLMs, document processing, and deep learning models.

Skills & Qualification

Experience :

Professional : 3+ years of hands-on AI / ML experience in the U.S.  (full-time, not internships) or  recent Master’s graduate with substantial AI projects and portfolio.

Technical Skills :

Proficient in Python  with strong software engineering practices.

Hands-on experience with deep learning , machine learning , and model deployment.

Complete understanding of LLMs ; familiarity with VLMs  is a plus but not required.

Document Ingestion Expertise : Experience with OCR ( Tesseract , EasyOCR ) and processing complex PDFs with mixed content (text, images, tables).

Experience deploying AI models in production on single or multi-GPU systems , including handling performance and memory optimization.

Knowledge of API development and integration , Docker , and Kubernetes  for scalable deployment.

Problem-Solving : Ability to translate AI / ML solutions into real-world applications, with focus on production-ready systems.

Responsibilities

Build, optimize, and deploy AI / ML models for NLP, Computer Vision, and document processing tasks.

Design and implement document ingestion pipelines to extract meaningful information from unstructured data.

Work with APIs to integrate AI models into production applications.

Deploy AI models using Docker  and Kubernetes , ensuring scalability across single- and multi-GPU environments.

Collaborate with cross-functional teams to design, test, and maintain production-level AI systems.

Monitor model performance and continuously optimize for efficiency and accuracy.

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