Software Engineer, Machine Learning
Mercari, Inc.
AWSAzureCloudDockerETLGoGoogle Cloud PlatformGrafanaKafkaKubernetesPHPPrometheus+5 more
Senior AI Engineer
Sezzle
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇴 Colombia
Visit company websiteSalary
💰 $50,000 - $120,000 per year
Job Level
Senior
Tech Stack
ApacheAWSCloudDockerGoGrafanaKafkaKubernetesPrometheusPythonSparkSQL
About the role
- Lead the design, development, and maintenance of scalable ML infrastructure on AWS, utilizing services like AWS SageMaker for model training and deployment.
- Collaborate with product teams to develop MVPs for AI-driven features and enable rapid iteration and market testing.
- Create and enhance monitoring and alerting frameworks to ensure high performance, reliability, and minimal downtime of ML models.
- Enable cross-departmental use of AI/ML models, including Generative AI solutions, for various organizational use cases.
- Provide production support: debug and resolve issues related to ML models in production and participate in on-call rotations.
- Design and scale ML architecture to support rapid user growth, optimizing for robustness and cost-effectiveness.
- Mentor team members, conduct code reviews, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay updated with the latest advancements in machine learning technologies and AWS services and drive adoption of cutting-edge solutions.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact.
- Proficiency with Python (required); experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting technical direction.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially AWS SageMaker, for deploying and scaling ML solutions.
- Knowledge of Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for ML models (e.g., Prometheus, Grafana, AWS CloudWatch).
- Experience developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
- Willingness to provide production support and participate in on-call rotations for operational troubleshooting and incident resolution.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningrecommendation systemspattern recognitiondata miningartificial intelligencePythonGolangSQLdata processingpipeline frameworks
Soft skills
technical leadershipmentoringcollaborationknowledge sharingproblem-solvingcommunicationteam guidanceproject ownershipadaptabilityinnovation
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in Machine LearningBachelor's degree in StatisticsBachelor's degree in Physics
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