We are looking for a highly motivated, analytical and results-driven back-end developer who is comfortable with backend programming language Python. To succeed as a backend developer, you should be focused on building a better, more efficient program and creating a better end-user experience. You should be knowledgeable, collaborative, and motivated. Responsibilities : Designing and developing APIs. Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. Maintain code integrity and organization. Escalate risks and critical issues to program leadership. Deliver developed and tested application releases on time and with high quality. Staying abreast of developments in web applications and programming languages. Ability to work independently or with a group. Skill Set (Good to have): Appreciation for clean and well documented code. Proficiency with Git, agile methodology and familiarity with project management tools such as Jira. Experience with IAM, debugging, multi-threading, SSL/TLS/HTTPS, Redis, Apache, Nginx, RabbitMQ, Docker and Web Sockets. Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Education: Bachelor's (Preferred) Experience: Python: 4 years (Preferred) Django: 3 years (Preferred) Work Location: In person

We are looking for a seasoned Embedded or Software Engineer with 5 to 7 years of experience in automotive systems, specializing in interfacing with PLCs, interpreting CAN and Modbus protocols, and integrating SCADA systems. The ideal candidate will play a key role in developing and maintaining embedded solutions for vehicle control, diagnostics, and industrial automation platforms. Key Responsibilities: · Design, develop, and maintain embedded software for automotive control and monitoring systems. · Interface with PLCs to acquire and process real-time data for diagnostics and automation. · Analyze and interpret CAN and Modbus protocol messages using industry-standard tools. · Integrate and configure SCADA systems for real-time monitoring and control of automotive test benches or production environments. · Collaborate with hardware, testing, and systems engineering teams to ensure seamless integration. · Ensure compliance with automotive standards such as ISO 26262 and AUTOSAR. · Document software architecture, integration workflows, and testing procedures. Required Qualifications: · Bachelor’s or Master’s degree in Electronics, Computer Science, Mechatronics, or related field. · 5–7 years of experience in embedded software development within the automotive industry. · Strong proficiency in C/C++ and embedded development tools. · Hands-on experience with CAN protocol (CANalyzer, CANoe) and Modbus communication. · Experience with PLCs (e.g., Siemens, Allen-Bradley) and SCADA systems (e.g., Wonderware, Ignition). · Familiarity with RTOS and microcontroller-based systems. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Job description: Responsible for designing and building production class deep learning models applied to computer vision problems Drive the development activities in an agile manner.• Guide and mentor junior engineers on the team Key contributor in developing POCs and solutions for new use cases Required skills and experience: 4+ years of hands-on experience in Computer Vision and deep learning Design and development of end-to-end machine learning pipeline including data extraction, automated labeling, training of deep learning model, and deployment Prior experience in taking at least one solution to production from Concept to Deployment Good breadth and depth of knowledge in various deep learning algorithms in the field of Computer Vision Working knowledge in at least one of PyTorch, Caffe, MXNet, Tensorflow etc. Proficient in Python language Hands-on experience in GPU acceleration and system design skills for efficient machine learning pipeline Strong foundation in software engineering with top-notch skills in design patterns, code optimization and debugging Experience working in Linux environment and proficient in state-of-art DevOpspractices/tools Good knowledge of statistics relevant to Deep Learning and ability to use the right statistical measures to assess the model’s performance Awareness of the latest research/advances in the field and ability to apply them• Drive to address complex problems with technical solutions that work Ability to manage multiple priorities in a fast-paced and dynamic work environment Job Types: Full-time, Permanent Pay: ₹244,343.11 - ₹2,058,079.18 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: total work: 4 years (Required) Work Location: In person