AI Engineer Job ID: 409875

Viraaj HR Solutions; Delhi; On-site; INR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Mentorship from senior AI leads

On-site role in India

Job summary

Viraaj HR Solutions on-site in Delhi seeks a skilled ML Engineer to design, train, and deploy scalable ML models for enterprise applications.

You will collaborate with data scientists and software engineers, productionize models with MLOps on cloud platforms, and ensure low-latency APIs for business workflows.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn) for production models.
• Experience building and deploying end-to-end ML pipelines with MLOps on cloud platforms.
• Strong collaboration with data scientists and engineers to productionize models.

Responsibilities

• Design, train, and deploy scalable ML models using frameworks like TensorFlow, PyTorch, and scikit-learn for production environments.
• Develop and optimize AI-powered pipelines for classification, regression, NLP, or recommendation systems based on business use cases.
• Collaborate with data scientists and software engineers to productionize models using MLOps practices on cloud platforms (AWS/Azure/GCP).
• Integrate AI models into enterprise applications via REST/gRPC APIs and ensure low-latency, high-availability performance.
• Monitor model drift, implement retraining workflows, and contribute to model explainability and fairness initiatives.
• Write clean, maintainable code and document AI systems for scalability, compliance, and team knowledge sharing.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLflow

REST API

Tools

Docker

Git

LangChain

FastAPI

Azure ML

Job description

About the Opportunity

A fast-growing technology firm in the AI & SaaS sector, we build and deploy enterprise-grade machine learning and generative AI solutions that automate workflows, enhance customer intelligence, and drive decision-making at scale. Our engineers work across the full AI lifecycle—from data ingestion and model training to deployment, monitoring, and continuous improvement—using modern tooling and cloud-native architectures to deliver real business value.

Role & Responsibilities

• Design, train, and deploy scalable ML models using frameworks like TensorFlow, PyTorch, and scikit-learn for production environments.
• Develop and optimize AI-powered pipelines for classification, regression, NLP, or recommendation systems based on business use cases.
• Collaborate with data scientists and software engineers to productionize models using MLOps practices on cloud platforms (AWS/Azure/GCP).
• Integrate AI models into enterprise applications via REST/gRPC APIs and ensure low-latency, high-availability performance.
• Monitor model drift, implement retraining workflows, and contribute to model explainability and fairness initiatives.
• Write clean, maintainable code and document AI systems for scalability, compliance, and team knowledge sharing.

Skills & Qualifications

• Must-Have
• Python
• TensorFlow
• PyTorch
• scikit-learn
• MLflow
• Docker
• Git
• REST API
• Preferred
• LangChain
• FastAPI
• Azure ML

Benefits & Culture Highlights

• Opportunity to own high-impact AI projects from concept to production.
• Collaborative, fast-paced engineering culture with mentorship from senior AI leads.
• On-site role in India with modern infrastructure and innovation-focused work environment.