Deskripsi Pekerjaan
Are you passionate about the intersection of data analytics and artificial intelligence? GSR Technology Limited is seeking a highly skilled and motivated Data Analyst & AI Data Engineer to join our dynamic team in the heart of Kuala Lumpur. In this pivotal role, you will be the bridge between raw data and actionable intelligence, working in close collaboration with our algorithm engineers, data scientists, and product development teams to shape the future of our AI-driven products.
You will be responsible for building robust data pipelines, cleaning complex datasets, and performing advanced analytical tasks to support machine learning model development. The ideal candidate is someone who enjoys solving intricate technical problems, thrives in a collaborative environment, and is eager to push the boundaries of AI integration within our software ecosystem.
Tanggung Jawab
- Design, develop, and maintain scalable data pipelines to support AI model training and deployment.
- Collaborate with algorithm engineers and data scientists to translate business requirements into technical data solutions.
- Clean, process, and validate large-scale datasets to ensure high-quality input for machine learning models.
- Conduct exploratory data analysis to identify trends, patterns, and insights that inform product strategy.
- Monitor and optimize database performance to ensure low-latency data access for real-time AI applications.
- Implement automated testing frameworks for data validation and quality assurance.
- Provide technical documentation for data architectures and analytical workflows.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical field.
- Minimum 2 years of professional experience in data engineering or data analytics roles.
- Proficiency in SQL and at least one programming language such as Python or R.
- Strong understanding of data modeling, warehousing, and ETL processes.
- Hands-on experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP).
- Familiarity with machine learning libraries such as Scikit-Learn, PyTorch, or TensorFlow.
- Excellent analytical, problem-solving, and communication skills.