Deep Learning Expert/SME

Overview

Remote
Depends on Experience
Contract - W2

Skills

Deep learning
PyTorch
TensorFlow
Neural Networks
SYSTEM Architectures
Python
Machine Learning
Software Development

Job Details

Title:- Deep Learning Expert

Location:- REMOTE

Job Description

Minimum 12 years of experience

Deep learning frameworks (such as PyTorch or TensorFlow or both)

Passion for new innovative technology and drive customer transformation

- Ability to travel domestically and work with different cultures and customers

- Ability to communicate with a variety of different audiences and strong presentation skills

- Demonstrate effective balance between business and technical acumen

- Ability to lead and motivate technical communities- Ability to effectively recognize and adapt to change

- Ability to deliver presentations and discuss complimentary products at a solutions level

- Ability to handle customer critical issues and work in difficult situations

- Effective written and verbal communication skills, with both technical and non-technical audiences

- Ability to evaluate end-user business requirements, translate them into technical specifications, and then develop and implement the appropriate technical solutions- Fluent English oral and written communication

Product and Functional Skills

We are seeking a full-time contractor to support the development and deployment of advanced computer vision solutions, with a focus on real-time image processing, model optimization, and integration into scalable production environments.

The ideal candidate will have hands-on experience with deep learning frameworks (such as PyTorch or TensorFlow), proficiency in designing and training convolutional neural networks, and a solid understanding of image classification, object detection, and feature extraction workflows. This role will collaborate cross-functionally with product, and engineering teams to accelerate project timelines, refine vision-based pipelines, and contribute to the design of robust system architectures. Strong communication skills and a pragmatic approach to experimentation are essential. We are looking for a self-starter who thrives in dynamic environments and can translate ambiguous project goals into concrete deliverables using best practices in machine learning and software development

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