Position: Machine Learning Engineer
Location: Dallas TX Hybrid
Interview mode: Face to Face.
Exp: 8 required
Key Responsibilities:
Analytics Model Development:
- Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
- Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
- Apply expertise in data mining and machine learning techniques including forecasting prediction segmentation recommendation and fraud detection.
- Data Engineering and Preparation:
- Extend and augment company data with thirdparty data to enrich analytics capabilities.
- Enhance data collection procedures to include necessary information for building analytics systems.
- Prepare raw data for analysis including cleaning imputing missing values and standardizing data formats using Python data frameworks (e.g. Pandas NumPy).
- Machine Learning Model Implementation:
- Implement machine learning models considering both performance and scalability using tools like PySpark in Databricks.
- Design and build infrastructure to facilitate largescale data analytics and experimentation.
- Work with tools like Jupyter Notebooks for data exploration and model development.