Hyderabad, Telangana, India
Information Technology
Full-Time
Technocolabs Softwares Inc.
Overview
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
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
- 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
- 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.
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