Senior Machine Learning Engineer

 

Description:

We are looking for experienced professionals, who have the ability to work in a fast paced environment. If you have the ability to work under pressure and enjoy success with the company, we are the right place for YOU.

 

Company Overview

Silicon Nexus is a global leader in next-generation digital solutions. We provide end-to-end product development, IT consulting, and innovative technology solutions across America, Europe, and the Asia Pacific regions.

 

Responsibilities

  • Creating and maintaining a framework for deploying machine learning algorithms and maintaining a framework for deploying machine learning algorithms.
  • Working with Python and dealing with data processing tools (e.g., scipy, numpy, pandas).
  • Dealing with Cloud Services: Azure, AWS, Google Cloud.
  • Fine-tuning, and modifying models using popular deep learning frameworks (PyTorch, Tensorflow, Keras).
  • Optimising deep learning models to save time and memory requirements in both training and inference phases (TensorRT, Tensorflow lite).

 

Requirements

  • 3-5 years experience in the relevant field.
  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
  • Use exceptional mathematical skills, in order to perform computations and work with ML algorithms.
  • Research and implement best practices to improve the existing machine learning infrastructure.
  • Knowledge in the latest NLP-related algorithms and methods such as sequence-to-sequence models, word and sentence embeddings, attention, etc.
  • Familiar with version control and containerization (Docker, Kubernetes)
  • Expert in Languages: Python,JS-tensorflow.

 

Organization SiliconNexus
Industry Engineering Jobs
Occupational Category Senior Machine Learning Engineer
Job Location Lahore,Pakistan
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 3 Years
Posted at 2024-01-16 11:30 am
Expires on 2024-12-24