Machine Learning Engineer I Job in Swiggy

Machine Learning Engineer I

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Job Summary Job Responsibilities
  • Build and deployMLmodels on various platforms. We use a combination of AWS, in-houseMLplatform, directly integrating with services of otherengineeringteams
  • Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed-upMLlifecycle
  • Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies
  • Contribute to the development of data-related products and services
Required Skills
  • Solid understanding of data structures and algorithms (expected to be fluent in at least one OO or functional language)
  • Minimum 1+ years of softwareengineeringexperience particularly related to productionizingMLmodels and scaling them in low-latency settings
  • Strong knowledge ofMLfundamentals and algorithms
  • Proficient in Scala or Java. Exposure to Python (esp. numpy, pandas)
Nice To have
  • Experience with AWS, docker/kubernetes, airflow, JIRA, confluence, etc.
  • Knowledge and/or interest in deep learningnowledge and/or interest in deep learning
Experience Required :

1 to 3 Year

Vacancy :

2 - 4 Hires

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