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:Applied Computer Vision EngineerWho Are WeSyook is an established Series A funded high growth startup headquartered in Bengaluru, working in the B2B spaceWe are currently on the path of high growth and productivity, and great culture building (because we know the two go hand in hand)! We are looking for folks who will ask questions like why/why not, what can I do to make this better, how can I help the company and most importantly, what can the company do to help you.
Our flagship product Syook InSite allows businesses to visualize their operations, providing information that can easily translate into measurable impact on the bottom-line
InSite is an Industrial Internet-of-Things (IIoT) solution that uses Bluetooth Low Energy (BLE) beacons to generate highly-accurate location data of all your resources (both assets and people), at much lower costs than comparable technologiesThe result:Quick RoI and Improved Operational PerformanceIt's Industry 4.0, ready for deployment!Role OverviewFirst and foremost, we're looking for people who are excited about what we're doingWe're building in a relatively new space, so you'll be able to use your creativity to help us solve problems and delight our customers. As an Applied Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations
Majority of our work is focused on applied Computer Vision so a good understanding of the current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks) is mandatory. We're looking for someone who loves to solve problems and enjoys building algorithms and models that identify all possible scenarios
You must enjoy breaking down a problem statement into smaller chunks and have a knack of designing scalable systems using modular pieces. A day in your role will involve any of the following (or a combination) :
Understanding business objectives and developing Computer Vision based solutions that help achieve itThe software could involve training framework, inference framework, working with different technologies for ML. Understand the requirements in depth and give adequate time estimates for the features
Develop processes for different common operations of the team:data acquisition, model training, prototype development. Finding open-source datasets for prototype development. Develop pipelines for data processing, augmentation, training, inference and active retraining. Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome themDeploying models to productionOptimize models for performance at the edgeCoordinate with QA for every feature and make sure releases are bug freeThis list is not exhaustive at all, and you'll have a lot of autonomy over your work. Why You Might Be Excited About Us
We're working to solve a massive global problem and help organizations be more competitiveWe love solving problems using technology and are bridging a massive gap in the operations excellence domain. We're small, so you'll be able to contribute efficiently and without bureaucracy
You'll quickly have responsibility over big areas of our product. Our team has a wide range of experiences (Oilfield, Telecom, Fintech, etc.) and are excited to learn from you, too. You'll be able to work independently and set your own schedule
We don't micromanage and will help you do great workWe trust our people and believe that each person here puts their best foot forward. We'll mold your role to shape a career you're excited about
We care a ton about your satisfaction and job happiness, and will help prep you for whatever you're looking for in the future. We work hard and also highly value balanced work/life
We care about family and your own personal development, and don't expect for you to be always engaged with work. Why You Might Not Be Excited About Us
We're small (40+ people in the company now), so if you like more established companies, it's not (yet) the right timeYou'll help build our company's culture. Since we're an early stage startup, projects and priorities may shift. Our customers love us, and there's a lot we can improve
It's a great place to be, but it means there's some jank(Nothing too scary! )Since you'll have a lot of responsibility and creativity over projects, they may not be defined perfectly initiallyYou'll be expected to bring your own experience and perspective to help us do the right things, and raise flags if you think we should do things differently. About You
None of these are requirements, but do describe the kinds of people that we think would be most effective at Syook right now. Love thinking broadly about problems and thinking creatively about how to solve them efficiently. Happy to try things out to validate new features, and move on if they no longer solve a problem. Excited for a front-row seat into a fast growing, early stage company
Things will change a lot!Enjoy thinking through trade-offs, with both mindfulness of short-term needs and our long-term direction. Happy writing documentation so that others can ramp up super easily and you're never a single-source-of-failure
We're a bit too small to have silos. You are driven and care about doing a good job and improving your craft. You have a growth mindset, can keep up with the latest technology changes and trends and suggest enhancements based on these
Most importantly, you're the kind of person who is friendly, approachable, ready to help others and personally driven to put your best foot forward. Technically these are some of the things we would like for you to have to be able to contribute
Effectively In This Kind Of a PositionBachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields1+ years of experienceExceptional candidates with less experience are welcome to applySound knowledge of various deep learning classification models and object detection modelsExperience of working with Image & Video Processing (OpenCV, Scikit, GStreamer, Tensorflow, PyTorch, NVIDIA Deepstream, TensorRT, Keras, Model Training/Inference, Video Processing -Pipelines, Different GStreamer Convertors etc)Good knowledge of statistics relevant to Deep Learning and ability to use the right statistical measures to assess model's performanceStrong experience with Python and writing reusable codeExperience with Python web framework, e.gFlask, Django or FastAPIExperience with databases (MongoDB, Postgres, etc)Experience with cloud environments for software development and deployment (AWS, Azure, GCP)Experience with utilizing various GPU-based training infrastructuresExperience with DockerKnowledge of DevOps and MLOps best practices for production Machine Learning systemsExperience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferableExperience with Azure, Azure ML Studio framework etcwill be preferredPrior experience in taking at least one solution to production from Concept to DeploymentFluent in using the tools of the trade:Testing, Editors, Git, Command line, Slack(ref:hirist.tech)
