Machine Learning Engineer Dallas TX - Hybrid - F2F Interview

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.