Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Senior Machine Learning Engineer

Posted 7 days agoViewed

View full description

💎 Seniority level: Senior

📍 Location: Australia

🔍 Industry: AI

🪄 Skills: AWSDockerPythonSQLETLKubeflowKubernetesMLFlowGrafanaPrometheusNosqlCI/CDTerraform

Requirements:
  • Strong experience with MLOps pipelines using Kubeflow, MLflow, or similar.
  • Proficiency in Python for maintainable code.
  • Hands-on experience with AWS services like S3, EC2, and SageMaker.
  • Deep understanding of container orchestration tools like Kubernetes.
  • Experience designing scalable ETL pipelines with SQL and NoSQL databases.
Responsibilities:
  • Design, build, and maintain MLOps pipelines for machine learning model lifecycle.
  • Collaborate with DevOps teams for cloud infrastructure management, focusing on AWS.
  • Implement CI/CD pipelines for smooth transitions from research to production.
  • Design scalable data pipelines for data collection and processing.
  • Deploy and monitor machine learning models in production.
Apply

Related Jobs

Apply
🔥 Senior Machine Learning Engineer (Modelling), Risk
Posted about 2 months ago

📍 Australia, New Zealand

🔍 Financial services

🏢 Company: Block👥 1001-5000ElectronicsManufacturing

  • Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning; Masters or PhD preferred.
  • 3+ years of experience in machine learning, artificial intelligence, or a related field.
  • Strong knowledge of machine learning algorithms and data analysis techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, capable of explaining complex concepts to non-technical stakeholders.
  • Technologies used include Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras), MySQL, Snowflake, Tableau, GCP/AWS.

  • Build machine learning models to detect and act against fraudulent activity.
  • Research emerging fraud patterns.
  • Lead and participate in cross-functional initiatives to tackle problems.
  • Collaborate with engineering, product, and operations teams.
  • Work with ML Engineering teams to operate models at scale and in real time.
  • Contribute to growth through mentoring and supporting fellow modellers.
  • Exercise autonomy and responsibility in solutions from design through operation.

AWSPythonArtificial IntelligenceData AnalysisGCPKerasMachine LearningMySQLNumpySnowflakeTableauAlgorithmsGoPandasTensorflowCommunication SkillsCollaborationMentoringAttention to detail

Posted about 2 months ago
Apply
Apply
🔥 Senior Machine Learning Engineer
Posted 4 months ago

📍 US, UK, Germany, Australia

🔍 Employee experience platform

  • Python software engineering expertise.
  • Familiarity with various stages of the ML lifecycle and MLOps: data labeling, fine tuning models, evaluation, CI/CD, deployment, versioning, monitoring, etc.
  • Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, HuggingFace).
  • Understanding of transformer architectures and LLMs.
  • Experience working with AI, machine learning, LLMs and NLP.
  • Experience working with cloud platforms and infrastructure (e.g. AWS, GCP).

  • Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering.
  • Collaborate and work closely with other engineers in your team through pair/mob programming, writing solution designs, or giving feedback on pull requests, to build shared understanding of your work.
  • Stay up-to-date with the latest advancements in machine learning and AI technologies and integrate them into our products.
  • Play a crucial role in delivering team objectives with other engineers in the team.

AWSPythonAgileGCPMachine LearningPyTorchTensorflowCI/CD

Posted 4 months ago
Apply