To "Build with Confidence", INDUS.AI works with owners, builders, and general contractors to deliver data and insights via computer vision and artificial intelligence. With our ambient project monitoring system, our customers can make more informed decisions, more easily manage their projects, and perhaps most importantly get home quicker and safer. We are in a rapid growth phase. If you like challenge, excitement, creative thinking, join our team and work with industry leaders.
INDUS.AI is looking for an enthusiastic and motivated Computer Vision Engineer to join our team. You'll be working closely with our research and development team to craft cutting edge methods to tackle different problems on construction sites such as safety non-compliance and low productivity.
What are my responsibilities ?
Design and develop state-of-the-art Computer Vision and Machine Learning algorithms for scene analysis, semantic segmentation, object detection and classification, object tracking, and activity recognition.
Working closely with the engineering team to integrate perception solutions.
Act as a mentor and subject matter expert within the computer vision group and with other key stakeholders.
Research, design, and implement algorithms in Deep Learning for Computer Vision and Perception.
Apply image and video analysis techniques to large-scale, real-world problems.
Fast prototyping, feasibility studies, specification and implementation of visual perception product components.
Developing a comprehensive testing protocol for all projects.
Solving complex real-world challenges in creative, effective and efficient ways.
Planning and managing time, tasks, milestones and resources to meet project objectives.
Communicating and coordinating with relevant engineering, operation and product teams during all phases of technology development and technology deployment.
Solving unique problems and working on a small, self-directed team.
Directly influence the vision and objectives for your team's work in alignment with business and market needs.
Directly change what we do in INDUS.AI fulfillment service to delight our customers.
What do I need to qualify for this job?
4+ years of work experience in Computer Vision
M.S. in Computer Science, Electrical Engineering, or related discipline required with a focus on Deep Learning, Computer Vision and Machine Learning.
Leverages the power of existing Neural Network inferencing frameworks like TensorRT and OpenVINO.
Implement or port machine learning and image processing algorithms to NVIDIA Jetson, Intel Movidius Myriad VPU, or Coral.
Hands-on coding skills and ability to quickly prototype in Python and C/C++ is a must.
Experience with parallel computing, OpenCL, CUDA, GPGPU, FPGA
Video Streaming Delivery Protocols (RTMP, HTTP, HTTPS, TCP, UDP).
Video Formats and Codecs (HLS, HDS, MP4, H264/5, etc.).
Video Encoders (FFMPEG, Digital Rapids, Vantage, Elemental).
Experience in tools and frameworks for deep learning (TensorFlow, PyTorch, MXNet) with strong hands on experience in at least one of them is required.
Outstanding written and verbal communication skills in English are required.
Ability to handle and solve complex issues in systematic and creative ways.
Ability to work well in a fast-paced team environment and self-motivated.
What makes me stand out from the crowd?
Proven record of innovation and delivery of results to solve real-world problems.
Knowledge of Edge Computing.
Familiarity with ROS
Deep understanding and hands-on knowledge of Deep Learning and its applications in Computer Vision.
Ability to work on challenging assignments with aggressive schedules.
At INDUS.AI, we're building a whole new category in an industry that desperately needs it. Managing modern day construction projects is like flying a 747 with no instrumentation. We're building the altimeter, compass, heading indicator, … you get the picture. This may be the most meaningful work you'll ever do. In order to deliver on such a promise, we've created a stellar environment for you and your career growth.
Our 5 core values
Teamwork Makes the Dream Work
Face the Feedback
Embrace Learning From Failure
Get It Done
Benefits include a competitive salary with stock options, standard health benefits, as well as some other more interesting benefits like wellness and professional development allowances, and employee discounts.