Machine Learning Engineer (Senior-Tech Lead Level)

This role involves designing, building, and improving large-scale machine learning systems for automated optimization and decision-making. The position requires a hands-on technical leader who combines software engineering fundamentals with machine learning expertise. Responsibilities include designing processing pipelines, developing production-grade systems, and taking end-to-end ownership of machine learning solutions from design through deployment and monitoring.

Provide technical leadership in improving the scalability, stability, accuracy, speed, and efficiency of production machine learning systems

Design, build, operate, and scale machine learning processing pipelines

Develop production-grade systems using technologies such as Python, Scala, Spark, SQL, Hadoop, cloud object storage, and Linux-based environments

Build systems that enable machine learning models to be deployed and operated reliably at scale

Automate large-scale data processing, model execution, analysis, and operational workflows

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field

At least 7 years of professional software engineering experience, including significant experience building machine learning systems

Advanced proficiency in Python and SQL

Strong experience with at least one JVM-based programming language, preferably Java or Scala

Hands-on experience building or operating large-scale data and machine learning pipelines

Strong understanding of software architecture, system design, design patterns, object-oriented programming, and functional programming

Practical understanding of common machine learning algorithms and how they behave in production environments