Mid-Level Machine Learning Engineer at Flipp

Drive innovation in machine learning at Flipp as a Mid-Level Machine Learning Engineer. Collaborate with diverse teams to build scalable architectures, enhancing data-driven decision making across the organization.

As an integral part of the Product, Engineering, and Analytics teams, you will develop frameworks that empower machine learning initiatives. Your efforts will focus on maintaining data pipelines and deploying ML models, alongside continuous enhancements to standardize processes. You will also design prototypes using advanced algorithms for impactful decision-making.

Key Responsibilities: • Develop and maintain data processing pipelines for machine learning • Improve ML framework by automating existing processes • Implement monitoring solutions for pipeline performance • Conduct performance tuning and optimization to ensure compliance • Design prototypes leveraging advanced algorithms and ML techniques

Requirements: • 2+ years as a Machine Learning Engineer or similar role • Proficiency in Scala, Spark, and Python for big data • Experience with Airflow and Databricks for data architecture • Knowledge of ML techniques and production deployments • Proven ability to lead projects with minimal guidance

Elevate Flipp’s machine learning capabilities with your expertise in data architecture and algorithm design. #J-18808-Ljbffr