Machine Learning Engineer

Posted 2024-11-07

View full description

📍 Location: West Coast, Central Europe, PT, CET

🔍 Industry: Machine learning

🏢 Company: Gensyn

🪄 Skills: PythonBlockchainEthereumMachine LearningNumpyPyTorchAlgorithmsGoRustTensorflow

Requirements:

Comfortable working in environments with a heavy research component
Demonstrable production experience working with modern parallelisation frameworks (e.g. FSDP, Megatron-LM, DeepSpeed)
Deep theoretical knowledge of deep learning or distributed systems

Responsibilities:

Convert novel hybrid parallelisation and verification research into production codeApply

Related Jobs

Apply

🔥 Machine Learning Engineer (Europe-based, remote)

Posted 2024-11-09

📍 Europe

🧭 Full-Time

🔍 Meeting management software

🏢 Company: SHERPANY

Strong background in ML and NLP with proven experience, preferably in self-hosted LLMs (e.g. LLaMA).
Proficiency in backend engineering, especially in Python and building scalable API integrations.
Skilled in Docker and Kubernetes/similar for model deployment within on-prem infrastructure.
Experience with data pipelines, logging, and monitoring for large-scale ML models.
Solution-oriented team player with proactive, autonomous work style.
Strong communication skills, both verbal and written, in English.

Develop, deploy, and optimize self-hosted ML pipelines focusing on LLM and NLP model performance.
Collaborate with backend, security, and DevOps teams to align LLM model architecture with infrastructure.
Design workflows for prompt templating, orchestration, and optimization of LLMs for product features.
Manage model performance monitoring, logging, and fine-tuning for continuous improvements.
Develop backend solutions that interface securely with ML models for efficient API performance and scaling.
Translate data science insights into actionable products.
Stay current with AI/ML developments and apply best practices.

DockerPythonKubernetesMachine LearningData science

Posted 2024-11-09

Apply

🔥 Staff Machine Learning Engineer (Python), Fraud Prevention

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

Apply

🔥 Staff Machine Learning Engineer (Python), Fraud Prevention

Posted 2024-09-23

📍 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.
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.

GraphQLPythonSQLDesign PatternsGitKafkaMachine LearningPyTorchRabbitmqApache KafkaRedisNosqlTensorflowCommunication SkillsCollaboration

Posted 2024-09-23

Apply

🔥 Staff Machine Learning Engineer (Python), Fraud Prevention

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

Apply

🔥 Senior Machine Learning Engineer (remote)

Posted 2024-09-08

📍 Europe, East coast of USA, Canada

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: mozilla.ai

5+ years of professional experience in machine learning and strong background in software engineering.
Comfortable with open source development work.
Experience with deep learning frameworks, such as PyTorch, is a plus.
Experience with large-scale dataset processing and data augmentation techniques.
Experience with managing experiments and models using platforms like Weights and Biases, MLFlow, KubeFlow.
Strong proficiency in Python and familiarity with relevant libraries and tools.
Comfortable working in the cloud, including containerization and cloud resource management.
Excellent problem-solving skills and ability to work independently or as part of a team.
Effective communication skills, including translating technical concepts to non-technical stakeholders.
Demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment.

Develop tools to streamline development, management, and evaluation of models.
Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.
Prepare and preprocess datasets for model evaluation.
Run and manage experiments related to model evaluation and training.
Evaluate model performance using standard metrics and techniques.
Collaborate with other teams to ship features.
Implement MLOps best practices for model deployment and monitoring.
Engage with stakeholders, translating technical details into insights.
Contribute to the product engineering lifecycle, from ideation to deployment.

PythonMachine LearningMLFlowPyTorchCommunication SkillsCollaboration

Posted 2024-09-08

Apply

Machine Learning Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities