Sr Software Engineer – Machine Learning

📋 Description

• Design and build distributed data pipelines capable of processing large and complex datasets.
• Develop, deploy, and operate machine learning models in production environments.
• Build agent-based AI systems capable of interacting with external services and internal
• Design scalable architectures for data processing, ML training, deployment, and inference pipelines.
• Establish and maintain observability across pipelines, models, and AI agents, including metrics
• Evaluate different modeling approaches and optimize trade-offs between cost, performance

🎯 Requirements

• Strong professional experience developing and operating production machine learning systems.
• Solid experience with Apache Spark and SQL in distributed data-processing environments.
• Proven experience working with large, complex datasets and designing scalable data-processing
• Experience building training, deployment, and monitoring pipelines for machine learning models.
• Experience working with cloud services across data, compute, and machine learning workloads
• Strong programming skills in Python and Scala.

🎁 Benefits

• Contractor agreement.
• Compensation paid in USD.
• Fully remote work.
• Opportunity to work on advanced AI and machine learning infrastructure.
• Highly technical environment with significant engineering ownership.
• Opportunity to design and scale systems that move rapidly from concept to production.