Flam is seeking an experienced Unity gameplay engineer that is passionate about building mobile applications. Our vision is to build a platform that enables shared experiences among billions of users. This is what’s known as the metaverse: a persistent space where anyone can do just about anything they can imagine, from anywhere in the world and on any device. The breadth of opportunities, and the evolving demands of this first-of-its-kind platform, ensure that your avenues for growth are always expanding and flexible. We are looking for candidates with at least 2+ years of experience to build our camera first mobile interface.
Responsibilities
- Create models for optimal body feature recognition on mobile devices.
- Work on optimising existing image tracking algorithms and create new ones as required.
- Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
- Ability to drive product class algorithm development including data acquisition, processing and deployment in edge,cloud or mobile.
Skills and qualification
- Knowledge of one of the following DL frameworks - Tensorflow, Keras, Caffe, Pytorch
- Basic experience in OpenCV and image processing stacks.
- Knowledge in Machine learning algorithms like regression, SVM, clustering etc.,
- Preferable : knowledge working with IP cameras / GIGE cameras / live data acquisition / data acquisition optimization
- Domain interest in one of the areas : Social Media, product based company.
- Knowledge about Cloud,Edge and Mobile deployment architectures is a plus.
- Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.
- Good knowledge of Computer vision algorithms and hands-on experience in Opencv, Machine learning and deep learning for Vision data.
The internship duration is for 4-6 months. If there is a mutual interest, we'll extend full time offer post internship. For any further queries you can mail to: [email protected]