AI Engineer

Viraaj HR Solutions Private Limited; Kolkata District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Own high-impact AI projects

Mentorship from senior AI leads

Collaborative, fast-paced engineering

Job summary

Viraaj HR Solutions Private Limited is seeking an AI/ML Engineer to design, train, and deploy scalable models for production use. You will build AI-powered pipelines for various tasks, collaborate with data scientists and software engineers, and productionize models using MLOps on cloud platforms.

The role emphasizes model monitoring, retraining workflows, and explainability, with responsibilities to write clean code and document AI systems for scalability and compliance.

Qualifications

• Must-have strong Python, TensorFlow, PyTorch and scikit-learn expertise.
• Experience with MLflow, Docker, Git, and REST API integration.
• Familiarity with ML deployment on cloud and MLOps practices.

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

Tools

Docker

Git

REST API

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.

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