Remote Machine Learning Engineer II

Description:

• The Machine Learning Engineer II at Flipp will collaborate with Product, Engineering, and Analytics teams to enhance the utilization and comprehension of machine learning within the organization.
• Responsibilities include developing and maintaining data processing pipelines and ML model deployment infrastructure, implementing monitoring solutions for pipeline health, conducting performance tuning, building key ML solutions, and designing prototypes using advanced ML algorithms.
• The role involves working on recommendation systems, language understanding, and MLOps platforms to advance product features and decision-making processes.

Requirements:

• 2+ years of experience as a Machine Learning Engineer or in a similar role is required.
• Proficiency in Scala, Spark, Python, big data technologies, and distributed computing is necessary.
• Strong knowledge of ML techniques and algorithms, along with experience in deploying ML models following backend software engineering best practices, is essential.
• Ability to lead projects independently, work with tools like Airflow and Databricks for scalable data architecture, and expertise in recommendation systems, language understanding, or MLOps platforms are expected.

Benefits:

• An inclusive and collaborative work environment where every voice is valued.
• Remote-first work setup.
• Opportunities for personal and professional growth and development.
• Encouragement to bring your authentic self, deliver your best work, and exhibit a growth mindset.
• Support for learning, curiosity, and initiative, fostering an entrepreneurial spirit.