Staff Machine Learning Engineer (Python), Fraud Prevention

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Requirements:

• Solid track record of over 10 years demonstrating mastery of Python, mainly in production backend applications.
• Extensive experience in working with Machine Learning, including Deep Learning with PyTorch and TensorFlow.
• Strong expertise working with generative AI models, including LLMs, like LLaMA or Alpaca.
• Solid experience in administration, modeling, optimization techniques in SQL and NoSQL databases, including data warehousing.
• Demonstrated proficiency in working with third-party software integration using industry protocols like SOAP, REST, RPC, GraphQL, and WebSockets.
• Proven knowledge in processing queues such as Apache Kafka or RabbitMQ, or standards like AMQP.
• Expertise in utilizing in-memory databases like Redis and Memcached.
• Understanding of Git and branching models for coordination with team members.

Responsibilities:

• Write production-ready, testable, and clearly documented code, and handle edge cases.
• Understand team development approach, identify gaps, and recommend solutions.
• Maintain expertise in the team’s domain areas, its services, interactions, and data flows.
• Utilize design patterns for scalable applications, anticipating future changes.
• Perform systematic debugging within the domain.
• Ensure epics and projects are broken down, prioritized, and understood by the team.
• Communicate clearly with other teams, fostering effective and targeted communication.
• Promote documentation and knowledge sharing within the team and with stakeholders.