About the Prospect

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.

📌 AI Engineer (Bengaluru)
🏢 viraaj hr solutions
📍 Bengaluru