Job Description

We are seeking a dynamic and results-driven Full Stack Engineer with strong proficiency in React for front-end development, Python for backend services, and hands-on experience with MLOps practices. The ideal candidate will play a key role in building scalable web applications and operationalizing machine learning models in production environments. Key Responsibilities: Design and develop responsive, user-centric web interfaces using React.js Build scalable backend services and APIs using Python (Flask, FastAPI, Django, etc.) Collaborate with Data Scientists to deploy, monitor, and maintain ML models in production using MLOps tools and practices Implement CI/CD pipelines for ML workflows using tools like Kubeflow, MLflow, Airflow, Jenkins, or GitHub Actions Optimize model performance, versioning, and reproducibility in a scalable architecture Work with cloud platforms (AWS, Azure, or GCP) to manage deployments and infrastructure Follow best practices in code versioning, testing, and documentation Technical Skills Required: Strong experience with React.js, Redux, and component-based front-end design Proficient in Python with exposure to web frameworks and REST API development Practical experience in MLOps versioning, pipeline automation, model deployment, and monitoring Hands-on with Docker, Kubernetes, CI/CD pipelines Experience with cloud platforms (AWS/GCP/Azure) and services like Lambda, S3, Azure ML, etc. Knowledge of data handling