Key Responsibilities:

• Design, develop, train, and deploy AI/ML models for real-world applications.
• Integrate ML models into scalable full stack systems (front-end and back-end).
• Build and maintain data pipelines for preprocessing and real-time inference.
• Develop clean, maintainable, and well-tested code across the stack.
• Collaborate with cross-functional teams including Data Scientists, Product Managers, and DevOps Engineers.
• Optimize model performance and system efficiency for production environments.
• Ensure security, scalability, and fault tolerance in model serving architecture.
• Monitor, troubleshoot, and maintain deployed ML services and APIs.

Tech Stack:

• Languages: Python, JavaScript/TypeScript
• Front-end: React.js / Vue.js / Angular
• Back-end: Node.js / Django / Flask / FastAPI
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data Tools: Pandas, NumPy, SQL/NoSQL databases, Airflow
• Cloud & Deployment: AWS / GCP / Azure, Docker, Kubernetes, CI/CD pipelines
• Version Control: Git, GitHub/GitLab
• MLOps Tools (Preferred): MLflow, Kubeflow, SageMaker, Vertex AI

Job Type: Full-time

Pay: Rs150,000.00 - Rs225,000.00 per month

Work Location: Remote

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