1 day ago
Remote, United States
Senior
H1B Sponsor
Base Salary
$156k - $194k/yr
Responsibilities
- Partner with product, UX, and technical stakeholders to analyze business problems and define ML problem statements.
- Design, implement, and maintain scalable ML solutions in production.
- Build reproducible ML workflows for data preparation, training, evaluation, and inference.
- Implement monitoring frameworks to improve data quality and model performance.
- Collaborate with cross-functional teams to deliver compliant ML-powered services.
- Demonstrate understanding of systems and articulate design choices.
- Own operational excellence including SLAs and incident response.
- Drive engineering excellence through code reviews and knowledge-sharing.
- Adopt AI-assisted practices to improve implementation efficiency.
Requirements
- Strong foundation in ML/AI concepts applicable to real-world problems.
- 5+ years of experience in building and operating data and ML systems in production.
- Proficient in Python, Java, and SQL with strong software engineering fundamentals.
- Hands-on experience with workflow orchestration and cloud data platforms.
- Experience with the ML lifecycle and MLOps tooling.
- Working knowledge of containerization and cloud infrastructure.
- Understanding of data modeling and scalable systems.
- Ability to ramp up quickly in new domains.
- Strong written and verbal communication skills.
Benefits
- Competitive pay and generous time off.
- Ample parental and wellness leave.
- Healthcare and retirement savings program.
Tech Stack
Amazon DynamoDBApache AirflowApache FlinkApache KafkaApache SparkArgo CDAWSAzureDockerGoogle Cloud PlatformJavaKubernetesMLflowPythonSnowflakeSQL
Categories
AI & MLData Science