Chennai, Tamil Nadu, India
Not disclosed
On-site
Full Time
Location : Chennai & Bengaluru Roles : Trainee , mid and Senior , 1- 7 years of experience Key Responsibilities: Design, develop, test, and deploy web applications using ASP.Net MVC/Core , Entity Framework Core , and MS SQL Server Build interactive and responsive UIs with ReactJS Integrate and develop RESTful APIs using .NET Core and Flask (Python) Write clean, maintainable, and efficient code following SOLID principles , design patterns , and clean code practices Participate in code reviews, architecture discussions, and software design processes Collaborate with cross-functional teams including frontend developers, QA engineers, and product managers Optimize application performance and troubleshoot issues as they arise Document technical specifications and application logic Stay updated on industry trends and emerging technologies Required Skills & Qualifications: Primary Skills: Proficient in C# and ASP.Net MVC/Core Strong experience with Entity Framework Core and LINQ Solid understanding of MS SQL Server – queries, stored procedures, and performance tuning Experience building RESTful APIs Proficient in ReactJS – component design, state management, and API integration Experience with JavaScript/ES6+, HTML5, CSS3 Secondary Skills: Experience in building and consuming Flask APIs (Python) Show more Show less
Bengaluru, Karnataka, India
None Not disclosed
On-site
Full Time
Experience : 2-7 Years Fresh Graduates with good knowledge in AI Models Tensorflow / Tensflow Lite will be considered for trainee positions. Required Skills: • Knowledge of anomaly detection techniques (statistical models, unsupervised learning) • Experience in integrating AI models (optimization for edge devices, TensorFlow Lite , etc.) • Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN) • Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Understanding of time-series data processing (experience with LSTM, GRU, etc.) • Sensor data processing (noise reduction, feature extraction, preprocessing techniques) • Data visualization and analysis skills (Pandas, Matplotlib, Seaborn) • AI model optimization and evaluation methods (cross-validation, hyperparameter tuning)
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