Deep Learning Application Development

Job Description

We are seeking a driven Deep Learning Engineer who thrives working in a fast-paced development environment. In this role, you will be part of a team that creates deep learning processes from the concept stage through R&D and to productization. The ideal candidate will be up-to-date on the latest developments in AI/ML technology and have strong analytical and problem-solving skills and a sharp eye for detail.

Responsibilities

• Expertise conducting research and development in pipelines for distributed large-scale training or automating intricate MLOps pipelines at consistent release intervals
• Design and deploy large-scale systems for supervised and unsupervised model training paradigms
• Develop automated processes for large scale Machine Learning model validation, development, and implementation.
• Create frameworks that are extremely scalable and effective for the various stages of the DL model life cycle
• Collaborate with infrastructure teams to develop tools and interfaces for quick benchmarking, model analysis and optimization, hyper-parameter tuning, and data visualization

Education + Experience

• Persuing Bachelors Degree in Computer Science/ MSC in Computer Science.
• Strong Python programming background
• Practical experience with at least one of the following: PyTorch, Tensorflow, Caffe2, or MXNet
• Experience with DL frameworks for convenience, such as PyTorch Lightning or DL-Catalyst
• Knowledge of alternative training time model compression techniques as well as large scale AutoML pipelines for Neural Network Architectural Search

Other Benifits

• Internship Completion Certificates.
• Project Completion letter.
• Letter of Recommendations.
• Get a Chance to work on Company live project.
• Work on projects under the mentorship and guidance by developers.