Software Engineer – AI/ML/CV at Brivo

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Brivo 👥 Experience 2-4 years 🎓 Qualification Bachelor’s or Master’s degree in Computer Science or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–₹20 LPA 🏢 Industry Technology 🛠 Key Skills Machine learning computer vision deep learning data preprocessing model training experiment tracking benchmarking MLOps Software Engineer – AI/ML/CV at Brivo — Full Details & How to Apply Brivo is seeking a Software Engineer – AI/ML/CV to join their team in Bengaluru, Karnataka, India

• This role offers freshers a chance to work with cutting-edge technologies like LLMs and computer vision, making it a pivotal opportunity in the tech landscape. The demand for AI/ML solutions is surging in the technology sector, making this Software Engineer – AI/ML/CV role crucial for Brivo ‘s innovative projects. As organizations increasingly rely on machine learning and computer vision, your contributions will directly impact the development of scalable models that enhance user experience and operational efficiency. Brivo , founded in 2002 , has over 200 employees and is a leader in cloud-based access control solutions. The company’s focus on innovation and employee growth makes it an attractive employer for those looking to advance their careers in AI and ML. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Computer Science or a related field and 2-4 years experience to apply. The salary for this role ranges from ₹12–₹20 LPA , making it a competitive option in the Bengaluru, Karnataka, India jobs market. In this role, you will gain hands-on experience with essential skills such as machine learning , computer vision , deep learning , and MLOps
• Working with advanced tools like PyTorch and TensorFlow will set you apart from competitors and open doors to rapid career advancement in the AI and ML fields. 📊 Role Difficulty: Medium Competition Level: Medium Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Software Engineer – AI/ML/CV role at Brivo is to transform complex business challenges into scalable machine-learning solutions, leveraging advanced technologies to enhance security solutions. Convert complex business problems into scalable machine-learning solutions using Python and TensorFlow to drive innovation in security applications. Build and optimize models utilizing CNN and Transformer architectures to improve performance metrics, ensuring high accuracy in predictions. Collaborate with data-labelling teams to ensure accurate annotation metadata for model training, enhancing the quality of computer vision applications. Manage data preprocessing workflows, ensuring high-quality datasets for model training and evaluation, critical for effective deep learning implementations. Take ownership of developing and maintaining model-training pipelines, ensuring efficient experiment tracking for continuous improvement. Document and communicate model performance results to stakeholders, facilitating informed decision-making based on benchmarking outcomes. Solve client-specific challenges by implementing tailored AI solutions that meet their unique needs, showcasing the impact of MLOps practices. This role fosters an ownership culture, allowing you to make a direct impact on Brivo’s innovative security solutions through your contributions. Required Skills & Technical Competencies The ideal candidate for the Software Engineer – AI/ML/CV position must possess a robust skill set in machine learning and related technologies to effectively contribute to Brivo’s projects. Technical Skills Machine Learning — intermediate to advanced — essential for developing algorithms that drive AI solutions in security applications. Computer Vision — intermediate to advanced — applied in building models that interpret visual data, crucial for enhancing Brivo’s security solutions. Deep Learning — intermediate to advanced — used daily to enhance model accuracy and performance through advanced neural networks. MLOps — intermediate — knowledge of MLflow and Docker is vital for managing the machine learning lifecycle effectively. Experiment Tracking — intermediate — familiarity with tools to monitor model performa…