Dell Senior Analyst Data Engineering 

Singapore, Singapore 

153701792

Senior Analyst, Data Engineering (I6)

What you’ll achieve

, you will be at the forefront of AI PC innovation in a fast-paced environment where innovative thinking is prized. You will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets. Your role involves supporting AI development and ensuring release readiness while collecting insights into best practices across various AI product portfolios and different sectors. Furthermore, you'll collaborate closely with your team, providing mentorship and guidance in the design and development of AI products.

You will:

• Collaborate with AI engineers to support the development and deployment of end-to-end AI models for AI PCs.

• Transform and prepare data for AI model training and inference.

• Optimize data structures to enhance the performance and accuracy of AI models. Troubleshoot and resolve data-related issues.

• Maintain and manage databases and data pipelines and ensure data integrity and quality through regular monitoring and maintenance.

• Stay updated with the latest industry trends and technologies in data engineering and AI.

Essential Requirements:

• 3+ years of related experience in data engineering and programming.

• Solid understanding of machine learning, deep learning, data science, and data engineering concepts.

• Strong programming skills in languages like Python, Java, or C++. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud)

• Experience with data pipeline and workflow management tools.

• Familiarity with big data tools (e.g., Hadoop, Spark). Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).

Desirable Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Knowledge of AI model optimization and quantization techniques. Familiarity with data preprocessing, feature engineering, and model evaluation.

• Experience with machine learning frameworks such as TensorFlow or PyTorch.