The Computer Vision engineer will be required to build algorithms based on our existing product portfolio and develop cutting-edge solutions for the emerging requirements of our key markets. The candidate will have the opportunity to interact and collaborate with our team of global Computer Vision experts in developing cutting-edge solutions to meet the dynamic nature of requirements for our customers. Key Responsibilities: a. Designing and implementing efficient computer vision algorithms for recognizing, tracking Human subjects within a controlled environment b. Architecting algorithms to work onboard our hardware systems as well as in the cloud where appropriate. c. Work together with our software development team to develop a scalable software solution Required Experience a. Minimum of 2-4 years of Relevant experience. b. MS, or PhD in Computer Science, Applied Mathematics, or a related field. c. Strong knowledge of the state-of-the-art in computer vision and machine learning algorithms with a solid understanding of OpenCV d. Experience working with point cloud processing and Point Cloud Library (PCL) e. Experience in optimization for computer vision (E.g. Semantic segmentation, depth reconstruction, scene flow) f. Ability to write efficient and maintainable code g. Solid understanding of C++ and/or Python, preferably in a Linux environment h. Possess practical experience in TensorFlow, Caffe. Desired Experience a. Prior experience in working with depth sensors and 3D Reconstruction using computer vision, image processing techniques b. Familiarity with the State-of-the-art in Computer vision and Deep Learning techniques
- Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv
Education : BE / ME / MSC (Maths or Physics) / PHD in Electronics / Instrumentation / DSP Professional Experience : 1 - 7 yr Good experience or formal training in image processing algorithms implementation Hands-on experience with object detection, tracking, and optical flow Knowledge of Image classification, segmentation, detection and feature extraction Practical knowledge of machine learning, Bayesian filtering, information theory, CNN or densenet Fluency with OpenCV or TensorFlow or Matlab & C/C++ Strong understanding of linear algebra, optimization, probability, and statistics Personality Creative and open minded to find solutions to problems nobody solved yet as well as disciplined and focused to get results and set up priorities Willingness to travel if necessary Fluent in English (written and spoken)
- You are a practitioner of image and data analysis and used machine learning to solve complex problems, preferably in healthcare. - You have expertise in computer vision/image processing and designed and built scalable and high-performance systems using good design practices. - You have a master’s degree in Computer Science or related field (preferably a doctorate). If you check all the above boxes, then I present you with an opportunity to use your skills and make a difference by building solutions for cancer diagnostic and treatment. You would work with an extremely talented and distributed team (US and India) out of Pune, India. Would love to discuss this in detail, let’s connect!
FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits
Looking for developer interested to do R&D work on 2D imaging experimenting deep with opencv libraries and optimizing those for mobile devices.