Role :
Data Science Intern
Location :
Bangalore, India
JOB DESCRIPTION:
As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is key. To guarantee the success of machine learning systems we need to do detailed formulation, extensive experimentation, and transform ML models to high-performance production level code, including not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming. This position will be based in Bangalore, India as part of our expanding site location and will be an 8-10 week full-time internship.
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What you will do
– Collaborate closely with other machine learning engineers and analysts to use and train state of the art ML models for the product use cases assigned
– Understand the key metrics needed for such model evaluations
– Do in-depth data analysis to uncover insights and share with partners
– Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
– Gain hands-on experience with a wide array of technologies including pytorch, AWS, Kafka, databricks
Education Required:
- Actively pursuing bachelors, masters or PhD in Computer Science, Information Technology, or a related field
skills
Demonstrate keen interest in machine learning systems and eager to create impact via state of the art data capabilities
– Strong understanding of statistical models, familiarity and in-depth understanding of machine learning and deep learning algorithms such as clustering and classification.
– Proficient in at least one programming language, familiar with basic data structures and algorithms.
– Having big data experience, and familiarity with distributed computation frameworks such as Hadoop, spark, hive etc. is desired but not mandatory
– Equipped with good verbal and written communication skills
– Detail-oriented, with a meticulous approach to problem-solving and project execution
– Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion
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