RISAH CAREERS
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Data Science
Machine Learning (ML)- Architecting end-to-end prediction pipelines and managing them
- Scoping projects and mentoring 2-4 people
- Owning parts of the AI and data infrastructure of the organization
- Develop state-of-the-art deep learning/classical models
- Continuously learn new skills and technologies and implement them when relevant
- Contribute to the community through open-source, blogs, etc.
- Take a number of high-quality decisions about infrastructure, pipelines, and internal tooling.
What are we looking for
- Deep understanding of core concepts
- Broader knowledge of different types of problem statements and approaches
- Great hold on Python and the standard library
- Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
- Experience with at least one among Computer Vision, Forecasting, NLP, or Recommendation
Systems a must
- A get shit done attitude
- A research mindset and a creative caliber to utilize previous work to your advantage.
- A helping/mentoring first approach towards work
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About the company
We are a technology company with a proven track record of partnering with organizations to deliver innovative mobile and cloud solutions & products. We believe that cloud and mobility are the means to deliver solutions to tomorrow’s challenges. Over the last 10 years, we have completed over 200 projects, and many of those have reached the top of the AppStores. We have worked across a number of categories including Fintech, Social, Retail, Enterprise, Lifestyle, Ticketing, Sports, Healthcare, Entertainment and many more.
We have worked with both Fortune 500 companies and innovative startups, and delivered successful products. We have a 40+ people team which, includes UI/UX designers, the best breed of engineers for iOS and Android, Full Stack Developers and Innovators. Other than design and development, Byteridge helps companies understand and define the product that needs to be built. This includes working with the stakeholders to understand the business, recognizing areas of improvement and aligning the project scope with the customers problems.
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