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 them 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, data bricks etc
WHAT WERE LOOKING FOR
- Actively pursuing bachelors, master or PhD in Computer Science, Information Technology, or a related field
- Demonstrate a 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 and 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