Machine Learning Engineer

4 weeks ago

Bengaluru, India SourceBae Full time

ML Engineer - 5 to 7 Years Experience

Location: Bangalore

Are you an experienced ML Engineer looking for an exciting opportunity to work on cutting-edge projects in Bangalore? We are seeking a highly skilled individual with 5 to 7 years of experience in machine learning to join our dynamic team. If you have a passion for leveraging data-driven insights to build scalable machine learning solutions and possess expertise in the following areas, we want to hear from you.

Responsibilities:

  • Utilize your knowledge of AB testing methodologies to design and execute experiments aimed at evaluating the effectiveness of different strategies or interventions.
  • Apply causal inference techniques to understand cause-and-effect relationships in data and make informed decisions based on observational data.
  • Develop machine learning models and algorithms efficiently using object-oriented Python programming.
  • Leverage PySpark for handling large-scale data processing tasks efficiently, extracting valuable insights from massive datasets.
  • Utilize Databricks to manage big data and run collaborative data science projects in an optimized environment.
  • Deploy machine learning models on the Azure cloud platform for scalability and accessibility of the developed solutions.
  • Utilize FAST API to create scalable and high-performance web services for deploying machine learning models.
  • Package machine learning applications into containers using Docker for easy deployment and management.
  • Collaborate with team members using Git for version control and tracking changes in code repositories.
  • Manage dependencies and libraries in Python projects effectively using package management tools such as PIP and Poetry.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
  • 5 to 7 years of experience in a machine learning engineering role, with a proven track record of delivering impactful solutions.
  • Solid understanding of AB testing methodologies and causal inference techniques.
  • Expertise in object-oriented Python programming for developing machine learning models and algorithms.
  • Experience with PySpark for large-scale data processing tasks.
  • Familiarity with Databricks for managing big data and running collaborative data science projects.
  • Proficiency in deploying machine learning models on the Azure cloud platform.
  • Knowledge of FAST API for building scalable web services.
  • Experience with Docker for containerizing machine learning applications.
  • Proficiency in Git for version control and collaborative software development.
  • Understanding of package management tools such as PIP and Poetry.

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