We are looking for a skilled and detail-oriented UI Developer with strong experience in Razor, HTML, CSS, JavaScript , and a working knowledge of React.js . The ideal candidate should have hands-on experience implementing designs from Figma or Adobe XD and should be adept at building responsive, user-friendly web interfaces Key Responsibilities: Develop and maintain high-quality UI components using Razor views and modern front-end technologies. Convert UI/UX designs from tools like Figma/Adobe into clean, responsive, and interactive user interfaces. Ensure cross-browser compatibility and consistent performance across various devices. Collaborate with back-end developers, designers, and product teams to deliver seamless UI/UX experiences. Optimize code for performance, scalability, and maintainability. Conduct thorough testing and debugging to ensure application stability. Required Skills: Strong proficiency in Razor , HTML5 , CSS3 , and JavaScript . Experience with React.js is preferred. Familiarity with UI design tools like Figma , Adobe XD , or Sketch .

Experience: 4+ yrs Timing : 1 - 10 PM IST Qualifications: Education: Bachelor s or Master s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhD s preferred Specialization or research in applied machine learning, MLOps, or ML systems preferred Experience: 4+ years of experience designing, developing, and deploying ML models in production environments 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling Experience with production-grade Python (preferred), as well as Java or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Technical Skills: Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker) Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network) Strong foundation in probability theory and statistical modeling (generative and discriminative) Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform, Docker, and Kubernetes Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams (engineering, analytics, product) Ability to independently manage tasks and thrive in a remote-first or hybrid environment Preferred Skills : Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficient in API and Microservices technologies Track records in large-scale, real-time AI/GenAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing