Harnham ยท 1 day ago
Senior ML Platform Engineer
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Responsibilities
Design, develop, and deploy machine learning platforms and infrastructure solutions.
Work with scalable systems that process millions of real-time requests per second.
Implement and optimize data systems, including Redis, DynamoDB, Kafka, Snowflake, and other databases.
Develop systems and workflows for pricing, curation, and fraud detection.
Leverage technologies like Temporal and Airflow for workflow orchestration and deployment automation.
Collaborate with cross-functional teams to ensure seamless integration of ML systems in production.
Debug, optimize, and enhance infrastructure to meet performance and reliability goals.
Support online/e-commerce operations with scalable, low-latency systems.
Qualification
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Required
infrastructure development of machine learning platforms
Experience working with real-time data (at least with latencies of single-digit seconds or faster)
Proficiency in AWS or other cloud platforms, and ability to code in Python and SQL
Knowledge and experience in key machine learning technologies like PyTorch, Tensorflow, Scikitlearn, and XGBoost
Strong foundation in software engineering and systems design principles
Experience with NLP systems and infrastructure components
Proven ability to work on high-scale systems in production environments
Familiarity with real-time data processing and workflow orchestration tools
Knowledge of best practices for handling large-scale data pipelines
Preferred
Prior experience in online/e-commerce or similar industries
Exposure to fraud detection systems
Benefits
100% healthcare, vision, and dental coverage.
Company equity package.
Competitive compensation, benefits, and professional growth opportunities.
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-05Seed
Leadership Team
Recent News
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