Education: Bachelor's/Master's Degree in Computer Science, Electrical Engineering, or related disciplines. Must be Proficient with C++, VC++, MFC and OOP's concepts. Broad and extensive knowledge of the software development process and technologies. Knowledge of software architecture and design patterns. Passionate about creating excellent products. Excellent analytical and problem-solving skills. Excellent interpersonal, oral and written English communication skills. Ability to work independently or closely with others. Proven ability to quickly learn new skills and assume new responsibilities. Committed to personal growth and development of new skills. Object oriented design, C++ implementation and MFC UI design and development. Superior debugging abilities. Multi-threading and inter-process communication. Development for Microsoft Windows operating systems: Complex, interactive graphical applications. Use of source code control tools such as git, SVN. Windows/Networking communications protocol. Job Type: Full-time Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Weekend availability Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: C++, VC++: 1 year (Preferred)
As a Machine Learning Engineer, you will be responsible for leveraging your hands-on knowledge of Python, Tensorflow, PyTorch, Keras, and Django to develop cutting-edge solutions. Your expertise in writing Neural Networks, Convolutional Neural Networks, GANs, and other deep learning models will be crucial in interpreting data and presenting key insights effectively. In this role, you will apply your knowledge of Deep Learning algorithms, Generative AI, Computer Vision, Object detection, and Image Segmentation to create innovative solutions. Proficiency in Python and experience working on both Windows and Linux operating systems will be essential for success in this position. This is a full-time position that offers a range of benefits including health insurance, paid sick time, and Provident Fund. The job entails a day shift schedule from Monday to Friday with weekend availability as needed. Additionally, there is a yearly bonus structure in place for eligible employees. The ideal candidate will have at least 1 year of relevant work experience and should be prepared to work in person at the designated location. If you are passionate about machine learning and eager to contribute to impactful projects, this role offers a rewarding opportunity to apply your skills and knowledge.,