Zycus Off Campus Drive

Strong background in Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition
Hands on coding with Python, sklearn, Tensorflow, Pytorch or any proficient AI language/library of choice
Knowledge of machine learning techniques such as regression, classification, clustering, anomaly detection, artificial neural networks, and sequence models.
Good understanding of core machine learning concepts to be able to design solutions for novel problems.
Experience with some of the pre-trained models like Spacy, BERT, Huggingface, Yolo, Faster RCNN etc.
Knowledge of Software design & debugging
Fluent communication skills
Great attention to detail
Logical, analytical and problem solving skills
Excellent Academic background and achievements

Be expected to come out with innovative ideas to create competitive edge in Zycus's Products
Understand use cases and product requirements.
Design, Develop, review (code/design), unit test and prepare PDLC documents.
Maintaining, enhance, fix code.
Follow standard documentation process laid down for the project.
Follow Zycus defined PDLC process and participate in improving the process
Support cross functional departments, projects/modules and work as a team to achieve project delivery goals and deliver quality software in the given timelines.