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-Machine Learning Developer - 5295223 - Charlotte North Carolina
Company: Accenture Location: Charlotte, North Carolina
Posted On: 05/07/2024
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: - Developing and implementing data access strategies, ensuring adherence to data architecture principles, and optimizing data and AI processes.
- You should have advanced proficiency in Machine Learning Model Management and PySpark, as well as advanced proficiency in Data Access, Data Architecture Principles, Data AI Processes, and Data AI Strategy.
- A Lead Developer who can help design and develop functional requirements and build effective back-end features in Python
- Build ML models for Predictive analytics on large datasets.
- Build data pipelines using PySpark or Hadoop frameworks to process large amount of data.
- Derive meaningful insights from data based on the Business requirements.
- Work with large datasets and process them according to Business requirements Sound knowledge of relational databases SQL and experience with large SQL based systems.
- Ability to work independently and think out of the box analytical solutions for complex data processing scenarios.
Basic Qualifications: - Minimum 7 years of PySpark
- Minimum 7 years of Machine Learning
- Minimum 7 years of Data Architecture
- Associate's degree
Preferred Qualifications: |
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