Are you an experienced Frontend Engineer with a strong background in React, Redux, TypeScript, CSS, and HTML? Do you have experience with AWS Cognito for secure authentication? Join our innovative team and be a key contributor to our cutting-edge AI Platform for the Architecture, Engineering, and Construction (AEC) industry. Tasks Develop highly interactive and user-friendly web applications using React, Redux, and TypeScript Collaborate with cross-functional teams for seamless integration of frontend components with backend services Leverage AWS Cognito for secure user authentication and authorization Create reusable, clean, and well-documented code with HTML, CSS, and other frontend technologies Utilize RESTful JSON APIs for efficient data communication between frontend and backend Participate in code reviews, debugging, and troubleshooting of frontend systems Stay abreast of emerging frontend technologies and industry best practices to drive continuous improvement Requirements Bachelor's or Master's degree in Computer Science or a related field Minimum 5 years of professional experience as a Frontend Engineer, preferably with React, Redux, and TypeScript Strong proficiency in HTML, CSS, and client-side JavaScript Experience with AWS Cognito or similar authentication services Proven expertise in building scalable, high-performance frontend applications for B2C or B2B software products Familiarity with backend technologies and RESTful JSON APIs is a plus Solid architectural skills with a focus on performance, scalability, and security Knowledge of CI/CD pipelines and automated deployment processes Excellent problem-solving and communication skills Benefits Work with Purpose: Join a dynamic, cross-functional team shaping the future of cutting-edge technology in a fast-paced, collaborative environment. Growth That Moves With You: Take advantage of continuous learning opportunities, mentorship, and a clear path for professional development and career progression. Modern Workplace: Enjoy a thoughtfully designed office equipped with modern amenities to support your productivity and well-being. Global Culture: Be part of a diverse and international team that values different perspectives—complete with regular team events, retreats, and cultural exchanges.

We are seeking a Senior Computer Vision Engineer with expertise in Deep Learning to spearhead the development and implementation of computer vision models for our AI Platform catered to the Architecture, Engineering, and Construction (AEC) industry. In this role, you will be responsible for managing Engineers efficiently, expanding our AI team, collaborating with highly skilled Machine Learning Engineers, and contributing individually to the project. Your responsibilities will include prototyping AI Models using real-world data, ensuring their successful deployment in production, overseeing a team of ML Engineers in Bengaluru, and working closely with cross-functional teams in Germany and the US to prioritize tasks and guarantee the timely delivery of ML models or features. Ideal candidates should possess a strong background in Deep Learning, leadership experience, and a proven track record of taking deep learning models from conception to production at scale using large-scale customer data. A postgraduate degree in Computer Science or a related field from a Tier 1 institution, along with at least 5 years of industry experience, including 3+ years in Computer Vision and Deep Learning, is required. Additionally, candidates should have a minimum of 2 years of experience leading Machine Learning (Deep Learning) projects and 1 year of leading a team of ML engineers. Experience in Natural Language Processing is advantageous, and expertise in developing new Deep Learning models in PyTorch is essential. A comprehensive understanding of software design, previous exposure to a fast-paced tech startup environment, and fluency in English are also desired qualifications. Join our team to work on cutting-edge technology in a collaborative setting, benefit from ongoing learning opportunities and mentorship, and have a clear path for professional growth. Our modern workplace is designed to enhance your productivity and well-being, while our global culture encourages diversity, inclusivity, and international collaboration through team events, retreats, and cultural exchanges.,

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. The No-Code Agentic AI offered by CONXAI helps construction firms enhance project control and prevent knowledge loss. As a full-time intern in our team, you will be involved in addressing cutting-edge computer vision and deep learning challenges in product development. Your main responsibilities will include collaborating with the team to understand and solve computer vision/deep learning problems, developing and implementing ML solutions which involve data preprocessing, model design, and performance evaluation, integrating solutions into the codebase using strong software engineering practices, and effectively communicating results and analysis. To be successful in this role, you should be pursuing (or have completed) a PhD/Master's degree in Computer Science from the IITs or another Tier 1 university. You should have experience in training and evaluating Deep Learning models in PyTorch and specifically ViTs, a good understanding of basics in machine learning and computer vision, including representation learning. Additionally, experience in training and fine-tuning Deep Learning architectures for tasks such as Object Detection, Instance Segmentation, Image Captioning, Temporal activity detection, and Large Vision Language Models is required. Knowledge of Unsupervised Learning and Active Learning is also beneficial. Proficiency in Python and good software engineering skills are essential for this role. You should possess good communication and interpersonal skills, be able to work in a team-oriented environment, have strong problem-solving skills, and be fluent in English. This internship offers a unique opportunity to apply your academic knowledge and skills in real-world applications, collaborate with experts, and continue learning and growing in the field of computer vision and deep learning.,