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AI Engineer

Actively Reviewing the Applications

Viraaj HR Solutions Private Limited

India, Tamil Nadu, Chennai Full-Time On-site INR 10–30 LPA
Posted 3 weeks ago Apply by June 7, 2026

Job Description

About The Opportunity

A hiring mandate in the Enterprise AI & Software Development sector delivering production-grade AI solutions—NLP, transformer-based systems, and inference platforms—to enterprise customers across India. This is an on-site engineering role focused on building scalable, low-latency model serving and MLOps pipelines for mission-critical applications.

Primary Title

AI Engineer

Role & Responsibilities

  • Design, implement, and optimise end-to-end AI model workflows: data ingestion, feature engineering, training, validation, and deployment.
  • Develop production-grade Python services for model serving and inference (REST/gRPC), ensuring low latency and reliability.
  • Fine-tune and evaluate transformer-based models (Hugging Face) and apply model compression/quantization to meet deployment constraints.
  • Containerise models and components using Docker and integrate with CI/CD pipelines for reproducible releases and automated rollouts.
  • Implement monitoring, logging, and alerting for model performance, data drift, and inference health to maintain SLAs.
  • Collaborate with product managers, data scientists, and ops to translate ML experiments into scalable production features and measurable KPIs.

Skills & Qualifications Must-Have

  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • Natural Language Processing
  • Docker

Preferred

  • Kubernetes
  • ONNX
  • AWS

Benefits & Culture Highlights

  • On-site role with direct impact on production AI systems and rapid deployment cycles.
  • Technical mentorship and cross-functional collaboration in a performance-driven engineering environment.
  • Competitive compensation, opportunities for upskilling in advanced ML tooling, and clear career progression.

Skills: python,pytorch,tensorflow,natural language processing,docker,kubernetes,ml
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