Machine Learning Engineer II

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Requirements:

• 2+ years of relevant experience as a Machine Learning Engineer or in a similar role.
• Experience with Scala, Spark, Python, and big data technologies.
• Experience constructing scalable data architecture using tools like Airflow and Databricks.
• Strong knowledge of standard ML techniques and algorithms.
• Experience deploying ML models in production following best practices.
• Ability to drive and lead projects independently.
• Proven experience in recommendation systems, language understanding, or MLOps platforms.

Responsibilities:

• Develop and maintain data processing pipelines and ML model deployment infrastructure.
• Continuously improve the ML framework for standardization and automation.
• Implement monitoring solutions for ML data pipelines to track health and performance.
• Conduct performance tuning and optimization of ML data pipelines.
• Build and maintain key ML solutions for product features and decision-making analysis.
• Design and develop prototypes leveraging ML algorithms including recommendation systems, NLP, and deep learning.