Role: Data Engineer with ML experience

Location Required: Atlanta, GA.

Job Summary –

 A Data Engineer with Machine Learning (ML) experience is a specialized role that combines data engineering skills with the ability to implement and manage machine learning models. Here are some key responsibilities and skills typically associated with this role.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable data pipelines to support machine learning workflows.
• Data Integration: Integrate data from various sources, ensuring data quality and consistency.
• Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable and reliable.
• Collaboration: Work closely with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions.
• Performance Optimization: Optimize data processing and machine learning model performance.
• Monitoring and Maintenance: Monitor data pipelines and machine learning models to ensure they are functioning correctly and efficiently.

Years of experience needed –

• 7 + Years of Experience

Technical Skills:

• Programming: Proficiency in languages such as Python, Java, and SQL.
• Data Engineering Tools: Experience with tools like Apache Spark, Hadoop, and Kafka.
• Machine Learning Frameworks: Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Cloud Platforms: Experience with cloud services like AWS, Google Cloud, or Azure.
• Database Management: Knowledge of both SQL and NoSQL databases.

Data Visualization: Ability to create visualizations to communicate data insights effectively

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