Experience
2 - 7 yrs
Job Location
Noida, India
Vacancy
1
Designation
Data Science Lead
Job Type
Not specified
Job Description
Job Description
Individual contributor
- Understand Software/System components and associated specifications.
- Ability to modify the architecture to enhance accuracy using different techniques like hyper parameter tuning, changing validation and test strategy, choosing right loss and activation functions.
- Good understanding of Visual Foundation models like YOLO, MAE, GrondingDIno etc.
- Apply statistical techniques for data analysis.
- Optimization of neural architecture for production deployment.
- Good at developing Heuristics post inference to reduce False positives.
- Good knowledge of Maths and Statistics particularly in the areas of calculus, linear algebra, and Bayesian statistics.
- Working knowledge of CNN based architecture on imaging or video applications.
- Good understanding of programming languages like Python, C/C++.
- Good understanding of Tensorflow/Keras APIs.
- Good understanding of OpenCV library.
- Good understanding of various optimization techniques for production deployment.
- Demonstratable track record of delivering on production environment.
- Image processing/audio signal processing exposure is a plus.
- Hands-on knowledge of using GPUs (CUDA) for tensorflow/pyTorch frameworks.
- Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
- Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement
- Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members
- Good leadership qualities.
- Ability to mentor junior team members.
- Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from reputed institution
- Consistently good academic record having minimum 70% throughout (10th std onwards)
Following information is required in the candidate s resume
- Complete academic information:
Board (for 10th and 12th)
College and university name (from where completed professional degree)
Percentage marks obtained, Year of passing
- If experienced, Duration of employment in the company/companies in which the candidate has worked.
- Project(s) worked on during employment
Duration of each of the project(s) which are published in the resume.
Role of the candidate in the project
Technologies and programming languages involved in the project
Team Size
- Reason for gap in education and/or jobs if any.
- Current CTC and expected CTC
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