
Chief Machine Learning Architect
7 days ago
Job Summary:
We're seeking an experienced Senior Data Scientist to lead our developer-focused data science team. The ideal candidate will have a strong background in machine learning, forecasting algorithms, and software engineering.
Key Responsibilities:
- Design, develop, and deploy forecasting algorithms using industry best practices.
- Work on time series modeling and other predictive modeling techniques.
- Implement and experiment with ML models as part of a developer-focused data science team.
- Develop scalable data pipelines and solutions using Python and PySpark.
- Collaborate across engineering and analytics teams to deliver production-ready ML solutions.
Requirements:
- 4+ years in a developer role focused on ML model implementation, experimentation, and related software engineering.
- Strong hands-on experience in Python and PySpark development.
- Experience as a Data Scientist with a focus on forecasting algorithms.
- General software development experience.
- Experience with Azure services, including:
- Azure Data Factory (ADF)
- Azure Pipelines
- Azure DevOps
- Skills & Tools:
- Forecasting models and time series techniques (ARIMA, Prophet, exponential smoothing, etc.)
- ML model development and evaluation
- Python (must-have)
- PySpark (must-have)
- ML Ops tools and CI/CD workflows in Azure environment
- Education:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Statistics, or a related discipline
What We Offer:
- Opportunity to work on cutting-edge, high-impact ML projects
- Collaborative and motivated team environment
- Flexible working schedule
- Comprehensive benefits package:
- Medical insurance
- Sports or wellness benefits
- Participation in corporate social events
- Professional development support and career growth opportunities
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