ML & Data Engineer (Localization & Analytics)
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
- Support development and evaluation ofmachine learning models for localization and tracking use cases.
- Analyze localization and sensor data to identify patterns model weaknesses and improvement opportunities.
- Build and maintaindata pipelines for ML experiments analytics and reporting.
- Prepare data for model training validation and performance analysis.
- Create basicdashboards and reports to visualize data quality and model performance.
- Collaborate with ML engineers localization experts and software teams.
- Maintain clear documentation of data flows experiments and analysis results.
Key Skills
- Solid understanding ofmachine learning fundamentals (training evaluation metrics).
- GoodPython skills for data analysis and ML-related tasks.
- Experience withSQL and structured data processing.
- Familiarity with data engineering concepts (ETL/ELT pipelines).
- Basic knowledge of cloud-based data platforms (e.g.AWS especially S3 / Glue / Athena).
- Strong analytical thinking and data-driven problem-solving.
- Good communication skills inEnglish and ability to work in cross-functional teams.
Nice to Have
- Initial exposure tolocalization sensor data or signal processing.
- Experience with ML frameworks such asPyTorch.
- Interest in data visualization or dashboarding tools (e.g. Quick Sight).
- Basic understanding of data governance and data quality principles.
Required Experience:
Manager
