Senior Technical Lead
Hewlett Packard Enterprise
JavaKerasPythonPyTorchTensorflow
Machine Learning Engineer
Eneba
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇱🇹 Lithuania
Visit company websiteSalary
💰 €55,200 - €74,400 per year
Job Level
Mid-LevelSenior
Tech Stack
KerasPythonPyTorchTensorflow
About the role
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Partner with Data Engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
- Implement MLOps practices like CI/CD pipelines and model deployment using appropriate tools and frameworks.
- Stay up to date with industry trends and incorporate new tools or technologies as seen fit.
- Provide technical leadership by mentoring team members and contributing to technical discussions.
- Support Eneba's mission to build an open, safe and sustainable gaming marketplace by enabling data-driven decision-making across the organization.
Requirements
- 3+ years of experience in ML engineering or in a similar role.
- Extensive experience working with Python.
- Strong understanding of Machine Learning algorithms.
- Experience with Deep Learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience with MLOps tools like MLflow or similar platforms for model lifecycle management.
- Familiarity with Databricks would be a significant advantage.
- Good English level required; proficiency preferred.
Benefits
- Opportunity to join our Employee Stock Options program.
- Opportunity to help scale a unique product.
- Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
- Paid volunteering opportunities.
- Work location of your choice: office, remote, opportunity to work and travel.
- Personal and professional growth supported by well-defined feedback and promotion processes.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonMachine LearningDeep LearningPyTorchTensorFlowKerasMLOpsCI/CDMLflowDatabricks
Soft skills
collaborationtechnical leadershipmentoringcommunication
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