ML Engineer Vacancy: Deep Learning & PyTorch/TF

Summary

Build and deploy custom deep learning models (CNNs, PyTorch/TF) for complex industrial problems at AxcelerateAI. Apply now!

We are a software development company with a specialized focus on building artificial intelligence solutions for real-world industrial problems, using state-of-the-art AI technologies.

Position Details

Type

Full-time

Location

In-person, Johar Town Lahore

Job Description

• Coordinating with an in-house or external data team to design a strategy for collecting appropriate data for building a deep learning model for the required task
• Designing, building and training deep learning models using state-of-the-art architectures including CNNs, LSTMs, attention networks and transformers. Training is either done on our on-premise servers or on the cloud (e.g., using AWS servers)
• Deploying the final model on a server and providing an interface or APIs to interact with it

Minimum Requirements

• Bachelor's or Master's degree in EE, CS or Data Science
• Ability to formulate a problem as a machine learning problem
• A reasonable theoretical/mathematical understanding of various deep learning architectures
• A reasonable theoretical/mathematical understanding of various objective/loss functions
• Strong programming skills in Python
• Extensive experience in either TensorFlow or PyTorch
• Prior experience of using deep learning either in research or industrial setting

No minimum prior industry experience is needed if the candidate fulfills the above requirements.