AI Cloud Engineer
1 month ago
About the Role
IBM is seeking a highly analytical Data Engineer to join our team in delivering AI-powered, cloud-native software solutions for our customers. As a Data Engineer, you will be responsible for extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development.
Key Responsibilities:
- Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making.
- Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends.
- Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling.
- Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.
- ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management.
- Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
- AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.
Requirements
- Develops applications on Big Data technologies including API development.
- Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries.
Salary Range: $120,000 - $160,000 per year, depending on experience.
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