Sr. ML Ops Engineer

Toyota’s OneTech Data department is seeking a motivated Mid-Level Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision-making.

Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with cross-functional teams to develop and deploy machine learning models that optimize marketing investments and improve customer engagement.

What you’ll be doing

• Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
• Collaborate with data scientists and engineers to translate business requirements into technical solutions.
• Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL.
• Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings and model insights effectively to both technical and non-technical stakeholders.
• Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products.

What you bring

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
• 8+ years of professional experience in machine learning or data engineering roles.
• Solid understanding of machine learning algorithms and experience applying them to real-world problems.
• Proficiency in Python and SQL; experience with PySpark or similar big data tools is a plus.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required.
• Ability to work collaboratively in a team and communicate technical concepts clearly.

Added bonus if you have

• Experience deploying machine learning models in production environments.
• Exposure to CI/CD pipelines and version control systems like GitHub.
• Knowledge of data visualization tools such as Power BI or Tableau.
• Interest or experience in the automotive industry.