Job Title: Senior .NET Full Stack Developer (Angular Experience) Location: Ahmedabad/Jaipur Experience: 3 to 8 Years Job Type: Full-Time Working Days: 5 Days a Week Key Responsibilities: Develop and maintain end-to-end web applications using .NET Core / .NET 6+ and Angular 10+ . Lead the design and architecture of scalable, maintainable systems. Collaborate closely with cross-functional teams including design, QA, and product management. Write clean, testable, and efficient code across both backend and frontend. Optimize application performance and troubleshoot production issues. Mentor junior developers and participate in code reviews. Stay updated with the latest industry trends and technologies. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, IT, or related field. 3 to 8 years of hands-on experience in full-stack development using .NET (C#) and Angular (v10 or above) . Strong proficiency in: ASP.NET Core / MVC / Web API Angular with TypeScript, RxJS, and Angular CLI Entity Framework / EF Core SQL Server or other relational databases HTML5, SCSS/CSS3, and responsive design principles Solid understanding of RESTful API design and integration. Familiarity with Git, Agile methodologies, and CI/CD processes. Excellent problem-solving, debugging, and analytical skills. Good to Have: Experience with cloud platforms like Microsoft Azure or AWS . Exposure to Docker , Kubernetes , or Microservices Architecture . Understanding of authentication frameworks (OAuth, JWT, Identity Server). Knowledge of DevOps tools and practices. What Will Excite You? 5-Day Work Week Creative, Friendly & Tech-Driven Environment International Project Exposure Career Growth & Leadership Opportunities Modern Infrastructure & Tools Work-Life Balance Performance-Based Rewards Team Activities & Events

Role: AI/ML Developer Experience: 1+ years in AI/ML, with hands-on development Key Responsibilities: Architect, develop, and deploy AI/ML solutions across various business domains. Research and implement cutting-edge deep learning, NLP, and computer vision models. Optimize AI models for performance, scalability, and real-time inference. Develop and manage data pipelines, model training, and inference workflows. Integrate AI solutions into microservices and APIs using scalable architectures. Lead AI-driven automation and decision-making systems. Ensure model monitoring, explainability, and continuous improvement in production. Collaborate with data engineering, software development, and DevOps teams. Stay updated with LLMs, transformers, federated learning, and AI ethics. Mentor AI engineers and drive AI research & development initiatives. Technical Requirements: Programming: Python (NumPy, Pandas, Scikit-learn). Deep Learning Frameworks: TensorFlow, PyTorch, JAX. NLP & LLMs: Hugging Face Transformers, BERT, GPT models, RAG, fine-tuning LLMs. Computer Vision: OpenCV, YOLO, Faster R-CNN, Vision Transformers (ViTs). Data Engineering: Spark, Dask, Apache Kafka, SQL/NoSQL databases. Cloud & MLOps: AWS/GCP/Azure, Kubernetes, Docker, CI/CD for ML pipelines. Optimization & Scaling: Model quantization, pruning, knowledge distillation. Big Data & Distributed Computing: Ray, Dask, TensorRT, ONNX. Security & Ethics: Responsible AI, Bias detection, Model explainability (SHAP, LIME). Preferred Qualifications: Experience with real-time AI applications, reinforcement learning, or edge AI. Contributions to AI research (publications, open-source contributions). Experience integrating AI with ERP, CRM, or enterprise solutions.