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Principal Machine Learning Engineer (Remote)

3 hours, 26 minutes ago
Turkey
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Spark AWS Docker Generative AI Go Grafana Kafka Kubernetes Machine Learning MLOps Prometheus Python SageMaker SQL
Apply Now
Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016
View All Jobs 147

Description

  • Design, build, and maintain scalable machine learning infrastructure on AWS, including model training and deployment with AWS SageMaker.
  • Collaborate with product teams to develop MVPs for AI-driven features and iterate quickly based on market feedback.
  • Develop and improve monitoring and alerting systems for machine learning models to ensure reliability and performance.
  • Enable teams across the organization to use AI/ML solutions, including generative AI, for different business use cases.
  • Provide production support by debugging ML issues, participating in on-call rotations, and resolving incidents.
  • Design and scale machine learning architecture to support rapid user growth in a cost-effective and robust way.
  • Mentor team members, conduct code reviews, and raise overall engineering quality through knowledge sharing.
  • Stay current with advances in machine learning and AWS services and apply new approaches where relevant.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a related technical field, or equivalent practical experience.
  • 6+ years of experience in machine learning engineering with success deploying scalable ML models in production.
  • Deep expertise in one or more areas such as machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
  • Proven track record of building machine learning models from inception through business impact.
  • Proficiency in Python is required; Golang experience is a plus.
  • Demonstrated technical leadership, including guiding teams, owning end-to-end projects, and setting technical direction.
  • Experience with relational databases, data warehouses, and SQL for data exploration.
  • Strong familiarity with AWS cloud services for deploying, managing, and scaling ML solutions.
  • Knowledge of Kubernetes, Docker, and CI/CD pipelines for ML deployment and operations.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, or AWS CloudWatch, and with recommender systems or personalized recommendations.
  • Experience with data processing and pipeline frameworks such as Apache Spark and Kafka for real-time data streams.

Benefits

  • Remote work arrangement (#Li-Remote).
  • Salary range of $50,000 to $95,000 per year (gross in USD).

Interested in this position?

Apply directly on the company website

Apply Now

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