AI Engineer

Viraaj HR Solutions Private Limited; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Viraaj HR Solutions Private Limited in India is seeking an experienced ML Engineer to design, train, and deploy scalable ML models across production environments. You will collaborate with data scientists and software engineers to operationalize models using MLOps practices on cloud platforms and expose them via APIs for enterprise applications.

The role emphasizes building robust AI pipelines, monitoring drift, and ensuring model explainability while contributing to a collaborative,

Qualifications

• Proficient in Python with hands-on experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with ML lifecycle tooling (MLflow, MLOps) and containerization (Docker).
• Familiarity with REST APIs for model deployment and integration.

Responsibilities

• Design, train, and deploy scalable ML models for production environments.
• Develop and optimize AI pipelines for classification, regression, NLP, or recommendation systems.
• Collaborate with data scientists and software engineers to productionize models on cloud platforms (AWS/Azure/GCP).
• Integrate AI models into enterprise apps via REST/gRPC APIs with low-latency performance.
• Monitor model drift, retraining workflows, and contribute to explainability and fairness initiatives.
• Write clean, maintainable code and document AI systems for scalability and compliance.

Skills

Python

TensorFlow

PyTorch

scikit‑learn

MLflow

Docker

Git

REST API

LangChain

FastAPI

Azure ML

Tools

Docker

Git

REST API

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.

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.

Skills: scikit-learn,ml,python,docker,git,tensorflow,pytorch