Local will Prefer

Send Loca DL with Resume

Role: Data Engineer with ML experience 12+ year Exp

Location Required: Atlanta, GA Onsite 

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.