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.

Eligibility Criteria

  • 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 Details

  • Industry: Telecom/Smart Consumer Electronics
  • Department: R&D
  • Role: AI & ML Engineer
  • Employment Status: Full time
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