Machine Learning Engineer (MLE)

Company Overview

Company details are not specified.

Job Summary

The Machine Learning Engineer (MLE) will be responsible for delivering machine learning solutions using Vertex AI. The role involves leveraging strong Python skills, advanced knowledge of machine learning engineering frameworks, and cloud technologies to support large and complex organizations.

Responsibilities

• Deliver machine learning solutions using Vertex AI and integrate with various ML services.
• Collaborate effectively with teams in both Agile and Waterfall project environments.
• Utilize SQL and Python for data manipulation and analysis.
• Implement distributed programming techniques using tools such as Apache Spark and Pyspark.
• Conduct unit testing and apply Test Driven Development (TDD) practices.
• Manage cloud-based infrastructure and services, employing Infrastructure as Code principles.
• Engage in direct client interactions to understand requirements and deliver tailored solutions.

Qualifications

• 5+ years of experience in the tech industry, with 3+ years focused on Machine Learning Engineering.
• Advanced knowledge of machine learning engineering frameworks and their professional standards.
• Proficient in cloud technologies like Google Cloud Platform (GCP), specifically Vertex AI, along with tools like AWS SageMaker or DataRobot.
• Strong programming skills in Python and proficiency in SQL.
• Experience with big data cloud platforms such as Azure, Google Cloud Platform, or AWS.
• Familiarity with DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) methodologies.
• Experience in software engineering and delivery within a large organizational context.

Preferred Skills

• Knowledge of Unit Testing and best practices in software development.
• Hands-on experience with distributed computing technologies.
• Familiarity with Infrastructure as Code tools.

Experience

• A minimum of 5+ years of relevant experience with a focus on Machine Learning Engineering.

Environment

Work setting, location, and any physical or environmental conditions are not specified.

Salary

Salary details are not specified.

Growth Opportunities

Opportunities for career advancement within the company are not specified.

Benefits

Information regarding offered benefits is not specified.