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Senior Machine Learning Engineer

Senior Machine Learning Engineer

INSTAWORK SERVICES INDIA PRIVATE LIMITEDBangalore
14 days ago
Job description

Description : Responsibilities :

  • Design, develop, and implement machine learning algorithms to solve complex problems in real-time scheduling and workforce optimization.
  • Initially, you'll work closely with a US-based team for 1-2 quarters to build knowledge before immersing more in APAC-focused projects. Flexibility to work some mornings or evenings will be necessary during this period.
  • Impact key company objectives by working closely with Product to refine our roadmap.
  • Build / maintain reports, dashboards, and metrics to monitor the performance of our products.
  • Gather, clean, and prepare large datasets for machine-learning models.
  • Build and maintain machine learning pipelines that are robust, scalable, and efficient.
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
  • Monitor and evaluate the performance of machine learning models and make continuous improvements.

Requirements :

  • 6-10 years of experience building machine learning models for business applications.
  • Entrepreneurial mindset with a mix of startup and large-scale experience, bonus points for being a co-founder.
  • Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, or similar) and experience with applications.
  • Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages / drawbacks.
  • Strong communication and presentation skills with a natural executive presence.
  • Expert-level fluency using languages like Python and SQL to manipulate data and draw insights from large data sets.
  • Working knowledge of common web / mobile architectures, data pipelines, CI / CD processes, etc.
  • Strong understanding of DBT or other similar data transformation / organization methodologies.
  • Experience with BI tools (e. g. Mode, Tableau, Looker).
  • B. Tech / B. E or BS / B. Sc in Math, Statistics, Physics, Computer Science, or other quantitative fields.
  • (ref : hirist.tech)

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