AI & ML Engineer responsibilities include creating AI algorithms, prototyping & products, machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics & programming and you have knowledge of data science and software engineering.
* In-depth expertise in AI, deep learning (DL) and statistical machine learning (ML)
* Expertise in Computer Vision (CV), Natural Language Processing (NLP), optimization, reinforcement learning (RL), time series, generative models, geospatial, signals, pattern recognition fields, and/or computer graphics fields
* Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and deep learning frameworks (e.g. Tensorflow, MXNet, scikit-learn)
* Excellent programming skills in Java, Python, C/C++, CUDA or other GPGPU is a plus
* Performance analysis and debug experience from application software to OS and driver SW to HW
* Experience implementing Machine Learning capability within a professional content creation tool or context such as Adobe Premiere Pro, Foundry Nuke, Autodesk Maya/Flame/Arnold, SideFX Houdini, or similar in-house toolchain.
* Knowledge of operating system fundamentals, graphics driver software and software development
* Knowledge of one or more of OpenCL, CUDA, SysCL, Metal
* Experience with System & CPU & GPU performance analysis tools (i.e. VTune, Windows Performance Analyzer, Nsight, GPA, etc)
* System and Computer architecture knowledge, including multi-core/multi-threading & SIMD technologies
* Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
* Use data modelling and evaluation strategy to find patterns and predict unseen instances
* Deep knowledge of math, probability, statistics and algorithms
* Ability to write robust code in Python, Java and R
* Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
* Research and implement best practices to improve the existing machine learning infrastructure
* Provide support to engineers and product managers in implementing machine learning in the product.
Education & Experience Requirement
* Pursuing PhD, Masters, or Bachelors degree in Machine Learning, Human Computer Interaction, Natural Language Processing, Robotics, Computer Science, Data Science, Statistics or related areas.
* 5 years of experience in related field
* Proven communication and writing skills in English
* Industry: Telecom/Smart Consumer Electronics
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