Machine Learning Engineer

Introduction

Join a dynamic team to build scalable and robust machine learning data pipelines in the cloud. You'll be part of an innovative environment focusing on optimizing existing solutions for performance, security, and cost-effectiveness. This role is essential for supporting agentic initiatives through cutting-edge data engineering practices.

Required Skills & Qualifications

• Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6 years with Bachelor's Degree).
• 4 years of professional experience in data engineering, data product development, and software product launches.
• Experience with at least three of the following languages: Java, Python, Spark, Scala, SQL.
• 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
• Experience with Google Cloud Platform, TensorFlow, and DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
• Prior work experience in the automotive or connected vehicle industry.
• Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
• 2 years of experience with ML Model Development and/or MLOps.
• GCP Professional Certifications.

Day-to-Day Responsibilities

• Build and maintain ML data pipelines in the cloud to process large volumes of connected vehicle data.
• Optimize existing ML solutions for performance, security, and cost-effectiveness.
• Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
• Implement an enterprise data governance model and promote data protection, sharing, reuse, quality, and standards.
• Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
• Provide production support by addressing production issues as per SLAs and ensuring data quality.

For immediate consideration please click APPLY to begin the screening process with Alex.