Deep Learning Engineer

Description:

We are seeking a driven Deep Learning Engineer who thrives working in a fast-paced development environment. Deep Learning Engineer will be part of a team that creates deep learning processes from the concept stage through R&D and to production ready system. 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. This is a contractual role, with the potential for extension based on project requirements and performance.

Job Responsibilities:

· Create frameworks that are extremely scalable and effective for the various stages of the DL model life cycle

· Design and deploy large-scale systems for supervised and unsupervised model training paradigms

· Evaluate the current MLOPs procedures to identify shortcomings and take steps to address them

· Design the DL systems and perform quick bench- marking, model analysis and optimization, hyper-parameter tuning, and data visualization

· Ability to work independently and manage time effectively in a remote or on-site setting.

Required Skills:

· Strong Python programming background.

· Practical experience with the following: PyTorch, Tensor flow etc.

· Expertise conducting research and development in Deep Learning & Machine Learning areas like facial recognition,facial/fingerprint live-ness detection etc.

· Knowledge of building and deploying deep learning/machine learning pipelines

· Excellent teamwork and communication abilities

Qualifications:

BS in Computer Science (4 year degree) from a reputed HEC recognized university.

MS in Computer Science from reputed HEC recognized university is preferred.