About the RoleWe are seeking an experienced Python and React TypeScript Full Stack Developer to join our engineeringteam. The ideal candidate will bring a strong background in building scalable web applications, designingand consuming RESTful APIs and webhooks, and working across multiple database technologiesincluding PostgreSQL, MongoDB, and Microsoft SQL Server. Hands-on experience with machine learningmodels is essential, as you will be responsible for integrating intelligent features into our products.Key Responsibilities Design, develop, and maintain full stack web applications using Python (Django/Flask/FastAPI)on the backend and React on the frontend. Architect and implement RESTful APIs and webhook integrations to enable seamlesscommunication between internal and third-party systems. Build and manage database schemas, queries, and migrations across PostgreSQL, MongoDB, andMicrosoft SQL Server. Develop, fine-tune, and deploy machine learning models into production environments,ensuring scalability and performance. Collaborate with data scientists and product teams to translate ML prototypes into robust,production-ready features. Write clean, maintainable, and well-tested code with comprehensive unit and integration tests. Participate in code reviews, architectural discussions, and sprint planning to maintain highengineering standards. Monitor application performance, troubleshoot production issues, and implement optimisationsto improve speed and reliability. Contribute to CI/CD pipelines, infrastructure-as-code, and DevOps best practices. Mentor junior developers and contribute to a culture of continuous learning and technicalexcellence.Required Skills & Qualifications Minimum 5 years of professional experience in full stack development. Strong proficiency in Python (Django, Flask, or FastAPI) and React with TypeScript, with a proventrack record of building and delivering production-grade full stack applications.JOB DESCRIPTIONConfidential Page 2 Extensive experience designing, building, and consuming RESTful APIs and webhook-basedevent-driven architectures. Solid working knowledge of PostgreSQL, MongoDB, and Microsoft SQL Server, including queryoptimisation and data modelling. Hands-on experience developing, training, and deploying machine learning models usingframeworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipelines, feature engineering, model evaluation, and deployment strategies(e.g., MLflow, Docker, Kubernetes). Experience with version control systems (Git) and collaborative development workflows. Strong understanding of software engineering principles including SOLID, DRY, and designpatterns. Excellent problem-solving skills with the ability to work independently and within cross-functional teams.Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with message brokers (RabbitMQ, Kafka) and event-driven microservicesarchitectures. Exposure to NLP, computer vision, or recommendation systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Knowledge of .NET MVC or WebForms is a plus. Experience with data visualisation libraries (D3.js, Plotly, or similar).What We Offer Competitive salary and performance-based bonuses. Flexible working arrangements (hybrid/remote options). Professional development budget for conferences, courses, and certifications. Opportunity to work on cutting-edge projects involving AI and machine learning. Collaborative, supportive team culture with a focus on innovation. Generous holiday allowance, pension contributions, and health benefits.If you interested, Share me your CV at.Riya Mishra8370014003hrcps9@gmail.com