Related skills
sql python tensorflow scikit-learn streamlitπ Description
- Develop and deploy ML models into production to enhance the core marketplace.
- Implement real-time fraud detection and content moderation using DL/LLMs.
- Prototype and implement generative AI to boost productivity and automate tasks.
- Grow in your role through mentoring, learning, and new ideas.
- Collaborate with ML Engineers, Data Analysts, and Data Engineers on end-to-end projects.
π― Requirements
- At least 1 year of professional data or software engineering experience with ML models in production.
- Knowledge of ML theory, statistics, probabilities, or econometrics modeling.
- Fluency in SQL and Python; ML packages (scikit-learn, XGBoost) and MLOps knowledge a plus.
- Experience with Python data visualization apps (Streamlit, Flask, Dash) a plus.
- Excellent communication skills to explain models to analysts and decision makers.
- Fluent in English.
π Benefits
- Hybrid status for this role: 2-3 days at the Office.
- 4 additional weeks on top of legal maternity/paternity leaves.
- 50% healthcare coverage.
- Financial support for home office equipment.
- Minimum 25 days holiday per year.
- Free unlimited carpooling & bus rides.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!