Backend Development: ● Work closely with the software team to enhance and expand the functionality of our existing backend infrastructure. ● Build scalable, secure, and high-performance APIs to support new features and system integrations. ● Develop and maintain server-side logic to ensure efficient data processing and storage. ● Implement authentication, authorization, and input validation to maintain system security. ● Utilize programming languages such as Go and Python for backend feature development. ● Integrate with databases and manage data flow between the server and client. ● Troubleshoot and resolve backend issues, ensuring optimal application performance. Frontend Development: ● Take ownership of implementing new features within our current frontend platform to improve user engagement and functionality. ● Collaborate with backend developers, UI/UX designers, and other team members to deliver a seamless and intuitive user experience. ● Write clean, responsive, and cross-browser-compatible code using HTML, CSS, and JavaScript. ● Develop interactive UI components and integrate them with backend APIs. ● Optimize the frontend for performance, scalability, and accessibility. ● Continuously update and refine the UI to align with modern web standards and design trends. ● Conduct testing and debugging to ensure a stable and bug-free user interface. Job Types: Full-time, Permanent Pay: ₹250,000.00 - ₹300,000.00 per year Work Location: In person
M.Tech Electrical Engineer: Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines Company Overview: Electro Sine Technologies is an early stage startup specializing in development of sensors for monitoring the health of industrial assets. We are committed to innovation, research, and development in the field of electrical engineering. As part of our commitment to nurturing talent and contributing to academic growth, we are offering a full time opportunity for an M.Tech Electrical student to work on the exciting topic of "Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines." Position: M.Tech Electrical Engineer Location: Ahmedabad, Gujarat Overview: As an M.Tech Electrical Engineer specializing in Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines, you will have the unique opportunity to work closely with our experienced research and development team. You will be involved in cutting-edge projects related to the predictive maintenance and health assessment of rotating electrical machines, contributing to advancements in this critical field. Key Responsibilities: 1. Literature Review: Conduct an in-depth literature review to understand the existing state-of-the-art techniques and methodologies for condition monitoring and fault diagnosis of rotating electrical machines. 2. Data Collection and Analysis: Collaborate with our engineering team to collect relevant data from various rotating electrical machines. Analyze the collected data to identify patterns, trends, and anomalies that could indicate potential faults. 3. Sensor Integration: Assist in the integration of various sensors and data acquisition systems for real-time monitoring of key parameters such as vibration, temperature, current, and voltage. 4. Algorithm Development: Contribute to the development and implementation of advanced algorithms and machine learning techniques for the early detection and diagnosis of faults in rotating electrical machines. 5. Model Validation: Validate the developed algorithms using both simulated and real-world data. Compare the algorithm's performance against established benchmarks and propose improvements if necessary. 6. Reporting: Document your findings, methodologies, and results in clear and organized reports. Present your findings to the team, highlighting the insights gained and the potential impact on improving machine reliability. 7. Collaboration: Collaborate with cross-functional teams, including electrical engineers, data scientists, and domain experts, to ensure a holistic approach to fault diagnosis and condition monitoring. 8. Continuous Learning: Stay updated with the latest advancements in the field of electrical engineering, predictive maintenance, and machine learning to enhance the quality of your work. Qualifications: - Currently pursuing an M.Tech in Electrical Engineering, specializing in areas related to power systems, electrical machines, or a closely related field. - Strong academic background with a focus on electrical machines, power electronics, and signal processing. - Familiarity with data analysis tools such as Python, MATLAB, or similar platforms. - Basic understanding of machine learning algorithms and their application to engineering problems. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills to effectively present findings and collaborate with colleagues. - Enthusiasm for learning and contributing to research projects in the field of electrical engineering. Benefits: - Gain hands-on experience in a real-world industrial research setting. - Work alongside experienced professionals and researchers in the field. - Enhance your technical and analytical skills through practical applications. - Opportunity to contribute to groundbreaking advancements in predictive maintenance. - Networking opportunities within the industry and academia. Note: This job description is intended to provide a general overview of the responsibilities and requirements. Actual duties, responsibilities, and qualifications may vary based on the specific needs of the company and project. Job Types: Full-time, Permanent Pay: ₹70,000.00 - ₹120,000.00 per month Ability to commute/relocate: Ahmedabad, Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person
M.Tech Electrical Engineer: Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines Company Overview: Electro Sine Technologies is an early stage startup specializing in development of sensors for monitoring the health of industrial assets. We are committed to innovation, research, and development in the field of electrical engineering. As part of our commitment to nurturing talent and contributing to academic growth, we are offering a full time opportunity for an M.Tech Electrical student to work on the exciting topic of "Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines." Position: M.Tech Electrical Engineer Location: Ahmedabad, Gujarat Overview: As an M.Tech Electrical Engineer specializing in Condition Monitoring and Fault Diagnosis of Rotating Electrical Machines, you will have the unique opportunity to work closely with our experienced research and development team. You will be involved in cutting-edge projects related to the predictive maintenance and health assessment of rotating electrical machines, contributing to advancements in this critical field. Key Responsibilities: 1. Literature Review: Conduct an in-depth literature review to understand the existing state-of-the-art techniques and methodologies for condition monitoring and fault diagnosis of rotating electrical machines. 2. Data Collection and Analysis: Collaborate with our engineering team to collect relevant data from various rotating electrical machines. Analyze the collected data to identify patterns, trends, and anomalies that could indicate potential faults. 3. Sensor Integration: Assist in the integration of various sensors and data acquisition systems for real-time monitoring of key parameters such as vibration, temperature, current, and voltage. 4. Algorithm Development: Contribute to the development and implementation of advanced algorithms and machine learning techniques for the early detection and diagnosis of faults in rotating electrical machines. 5. Model Validation: Validate the developed algorithms using both simulated and real-world data. Compare the algorithm's performance against established benchmarks and propose improvements if necessary. 6. Reporting: Document your findings, methodologies, and results in clear and organized reports. Present your findings to the team, highlighting the insights gained and the potential impact on improving machine reliability. 7. Collaboration: Collaborate with cross-functional teams, including electrical engineers, data scientists, and domain experts, to ensure a holistic approach to fault diagnosis and condition monitoring. 8. Continuous Learning: Stay updated with the latest advancements in the field of electrical engineering, predictive maintenance, and machine learning to enhance the quality of your work. Qualifications: - Currently pursuing an M.Tech in Electrical Engineering, specializing in areas related to power systems, electrical machines, or a closely related field. - Strong academic background with a focus on electrical machines, power electronics, and signal processing. - Familiarity with data analysis tools such as Python, MATLAB, or similar platforms. - Basic understanding of machine learning algorithms and their application to engineering problems. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills to effectively present findings and collaborate with colleagues. - Enthusiasm for learning and contributing to research projects in the field of electrical engineering. Benefits: - Gain hands-on experience in a real-world industrial research setting. - Work alongside experienced professionals and researchers in the field. - Enhance your technical and analytical skills through practical applications. - Opportunity to contribute to groundbreaking advancements in predictive maintenance. - Networking opportunities within the industry and academia. Note: This job description is intended to provide a general overview of the responsibilities and requirements. Actual duties, responsibilities, and qualifications may vary based on the specific needs of the company and project. Job Types: Full-time, Permanent Pay: ₹70,000.00 - ₹120,000.00 per month Ability to commute/relocate: Ahmedabad, Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person