AI Engineer

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