Staff Machine Learning Engineer (Python), Fraud Prevention

Posted 2024-09-23

💎 Seniority level: Staff, 10 years

📍 Location: Americas, Europe, UTC-5, UTC+3

🔍 Industry: Fintech, cryptocurrency

🏢 Company: Paxful, Inc

🗣️ Languages: English

⏳ Experience: 10 years

🪄 Skills: GraphQLPythonSQLDesign PatternsGitKafkaMachine LearningPyTorchRabbitmqApache KafkaRedisNosqlTensorflowCommunication SkillsCollaboration

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.
Hands-on experience working with release management and architecting within cloud platforms like AWS or Azure is a nice to have.
Familiarity with network security, traffic encryption, and authentication protocols is a nice to have.
Enhanced skills in other programming languages like Golang and Java are highly valued.
A comprehensive grasp of economics and finance, including swaps, escrows, scalping, staking, and lending is a nice to have.

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.

Posted 2024-10-11

📍 Americas, Europe

🔍 Fintech, Cryptocurrency

🏢 Company: Paxful, Inc

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.

Write production-ready, testable, and clear 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.

GraphQLPythonSQLDesign PatternsGitKafkaMachine LearningPyTorchRabbitmqApache KafkaRedisNosqlTensorflowCommunication SkillsCollaboration

Posted 2024-10-11

Posted 2024-09-20

📍 Americas, Europe

🧭 Full-Time

🔍 Fintech

🏢 Company: Paxful, Inc

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.

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.

GraphQLPythonSQLDesign PatternsGitKafkaMachine LearningPyTorchRabbitmqApache KafkaRedisNosqlTensorflowCommunication SkillsCollaboration

Posted 2024-09-20

🔧 Requirements