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Senior Data Scientist, Computer Vision
1 week ago
We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.
Come work with us to provide certainty to shape a better tomorrow.We are a Great Place to Work-CertifiedTM and have been consistently ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc.
the role:
As a Senior Data Scientist, you will work on various cutting-edge data analytics and machine learning problems across various industries.
Seamlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project.On a typical day, you mightKey Responsibilities
- Lead and contribute to developing sophisticated machine learning models, especially in Computer vision.
- Evaluate / Assimilate cutting-edge developments in computer vision to provide solutions to business problems
- Build and maintain high-competency Data science teams specializing in Computer vision
solutions, and communicate findings clearly and promptly.● Take ownership of end-to-end model development, from problem definition and data exploration to model
training, validation, and deployment.● Collaborate with cross-functional teams, including data engineers, software developers, and business
stakeholders, to integrate computer vision solutions into business processes.● Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative
ideas to the team and contributing to continuous improvement
Desired Skills and Experience:
- 7+ years of experience with atleast 3+ years of leading a team
- Expert-level Python skills and hands-on model development experience for Regression, Classification and computer vision-related tasks.
- Proficient in Computer vision with hands-on experience in Object detection, Image classification, Image processing, etc, with 6+ years of experience.
- Best practices in deploying computer vision models in a production environment.
- Extensive hands-on experience with Python packages such as Scikit-learn, Numpy, Pandas etc.
Developing computer vision models utilizing Pytorch Keras per requirement
- Experience with Hyperscalars such as AWS, GCP and Azure
- Should have demonstrated competence in Team and project management
- Should have played a major role in at least three computer vision projects
organization
- Software engineering and product development experience is a plus
- Publications and Opensource contributions are strongly recommended.
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