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Mid LevelFull-timePythonAWSKubernetesTerraformMachine LearningData SciencePyTorchCI/CDGoML
Salary Range
$35,700 - $48,300 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join our team at OLX, working across Automotive and Real Estate platforms across the EU region. This role involves building automated pricing engines and infrastructure for our platforms, with opportunities to work on pricing models, behavioral classification, value estimation, and LMM-based models.
Key Responsibilities
- →Work in the Data Science team, focusing on building the automated pricing engine for all our platforms
- →Help build the infrastructure needed to create agents and models, refine them for optimal performance, test them, and deploy them to production
- →Maintain strong relationships with stakeholders, translating their requirements into achievable projects
- →Partner with Engineering and Product to deliver solutions to our customers
- →Work with Product Analytics to track KPIs of different ML use cases
- →Collaborate with the Experimentation team to integrate KPIs into the A/B testing platform
- →Work in multi-functional teams in a diverse, multinational environment
Requirements
- ✓At least 3 years of professional experience as an MLE
- ✓Hands-on experience with machine-learning-based pricing or revenue optimization systems
- ✓Knowledge of GenAI and LLMs
- ✓Good knowledge of engineering practices
- ✓Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
- ✓Experience with serving machine learning models at scale
- ✓Excellent knowledge of Python
- ✓Experience with Scikit-Learn, Pytorch, and Transformers in production settings
- ✓Experience using cloud-based architectures for deploying machine learning solutions
- ✓Proficient in English with excellent communication skills
