Lead Ui Engineer At Standard Chartered India

• standard chartered

Sr. Assoc, CL, FrontEnd Eng, WRB Tech - Standard Chartered India Qualifications Overall experience of 10+ years Experience in global diverse organization in building overall capability and technical expertise Bachelor’s degree in computer science, Software Engineering, or related field. Proven experience as a front-end developer or web developer, with a strong portfolio showcasing past projects. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Bachelor’s degree in computer science, Software Engineering, or related field. Role Specific Technical Competencies JavaScript ES6 (and TypeScript) HTML5/CSS/DOM ReactJS Responsive Design Principles Security Fundamentals CI/CD

• sas
• ui fullstack developer
• react
• typescript
• golang
• java

Role: UI Fullstack Developer. Responsibilities include designing and developing scalable software solutions, building backend services in GoLang/Java, and creating intuitive user interfaces using React and TypeScript. Requirements include 6-8 years of professional software development experience, a degree in Computer Science or Engineering, and familiarity with REST APIs, Docker, Kubernetes, and agile methodologies.

• tata consultancy services
• vizag
• mlops
• ai
• cloud
• docker

Developer - Tata Consultancy Services Responsibilities: 🚀 TCS Walk-in Drive | MLOps Developer | Vizag 🚀 Are you passionate about MLOps, AI, and cloud technologies? Join Tata Consultancy Services (TCS) for an exciting walk-in drive in Vizag! 📌 Role: MLOps Developer 📊 Experience: 5 – 12 Years 📍 Location: TCS Vizag 🏢 Venue: TCS Operations, Millennium Towers, Block A & B IT Hill No. 3, Rushikonda, Madhurawada Visakhapatnam, Andhra Pradesh – 530063 📅 Interview Date: 13th June 2026 ⏰ Registration Time: 09:00 AM – 01:00 PM 🔍 We are looking for professionals with expertise in: · Strong knowledge of MLOps principles and the end-to-end ML lifecycle: data preparation → training → validation → deployment/serving → monitoring/refresh pipelines. · Design and implement CI/CD (and CT/continuous training) pipelines for ML workflows, including testing, promotion, rollback, and reproducible builds. · Hands-on with containerization and orchestration (e.g., Docker/Kubernetes) and ML pipeline tooling such as MLflow/Kubeflow (or equivalent). · Monitoring & observability for ML systems: service + data + model health tracking, drift checks (feature/target/concept), alerts/triggers, and root-cause analysis. · Cloud platform experience (AWS/Azure/GCP) to deploy and run ML workloads using managed services and cloud-native components (e.g., GKE, BigQuery, Cloud Storage, Vertex AI capabilities). · Security, governance, and access controls: authentication/authorization, encryption, policy/guardrails, and compliance-focused logging/traceability for production ML. · Cross-functional collaboration with data scientists, engineers, and platform teams to productionize models following best practices for repeatability, standardization, and operational efficiency. · Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras). 💡 If you have a strong background in building, deploying, and scaling ML systems—this is your chance to work with cutting-edge technologies at TCS! 🎯 Walk in with your updated resume and be part of a dynamic team shaping the future of AI & ML. 👉 Don’t miss this opportunity – see you there! … more