AI Engineer

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.