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 third-party 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 large-scale data analytics and experimentation.
- Work with tools like Jupyter Notebooks for data exploration and model development.
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