Machine Learning Engineer - Bengaluru, India - SourceBae

Description

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.