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.

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