AI/ML Engineer

Overview

Remote
$75 - $100
Contract - W2
Contract - Independent
Contract - 12 Month(s)
10% Travel

Skills

AI
Artificial Intelligence
C + +
CNN
Deep Learning
C +
Linux
PyTorch
Python
NVIDIA Jetson
Java
Keras
Google Cloud
OpenCV
Excellent communication
Tensor Flow
Tensorflow
Neural Network
neural networks
machine learning

Job Details

AI/ML Engineer

100% Remote

12+monthsContract

Description:
Design and develop real time AI - Neural Network solutions for railway maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Meet deadlines to ensure projects are completed within acceptable time and cost targets.
Willingness and ability to travel up to 15% of time.
Other duties may apply as required.
Education
Master's / Bachelor's degree in Software Engineering or similar experience.
Experience
3+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
3+ years of experience in Software development using C++/Python language.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as Tensor Flow, Caf, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).

Qualifications:
5+ years' experience in Gen AI.
Proficiency in artificial intelligence.
Experience in Python, Java, or C++.
Proficiency in machine learning.
Strong analytical and problem-solving skills.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.
Familiarity with agile development methodologies.
Excellent communication and collaboration skills.

Skills:
c++, RCNN, Neural Network, Darknet, Pytorch, Tensorflow, QT, Python, CNN, Artificial Intelligence, machine learning