Viraaj HR Solutions Private Limited
Website:
viraajhrsolutions.com
Job details:
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
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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