AI Engineer (In Partnership with IMDA)
Salary undisclosed
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Responsibilities:
- Collaborate closely with business stakeholders to understand requirements, identify opportunities, and address data-driven and automation challenges.
- Acquire and prepare quality data for AI models.
- Develop and implement data and AI solutions leveraging both existing and new data sources to achieve business objectives.
- Monitor AI model performance and identify areas for improvement.
- Optimize data and AI solutions for speed and efficiency.
- Ensure the delivery of high-quality IT projects within established timelines.
- Research and evaluate emerging technologies to enhance Data and AI capabilities.
Requirements:
- Degree in Computer Science, Data Science, Mathematics or a related IT field
- Proven experience in developing and deploying AI models using Python, Scala, Java, SQL for production environments
- Proficiency in processing and analysing large, complex datasets across diverse platforms including traditional data warehouses, in-memory DB, Hadoop, Spark, ElasticSearch, Kafka etc.
- Demonstrated expertise in applying machine learning, deep learning, natural language processing, and generative AI techniques to solve real-world problems
- Strong problem-solving and product development abilities.
- Proven ability to deliver high-quality systems within deadlines.
- Excellent time management, prioritization, and multitasking skills.
- Strong interpersonal and communication skills.
- Team-oriented, self-motivated and adaptable.
Responsibilities:
- Collaborate closely with business stakeholders to understand requirements, identify opportunities, and address data-driven and automation challenges.
- Acquire and prepare quality data for AI models.
- Develop and implement data and AI solutions leveraging both existing and new data sources to achieve business objectives.
- Monitor AI model performance and identify areas for improvement.
- Optimize data and AI solutions for speed and efficiency.
- Ensure the delivery of high-quality IT projects within established timelines.
- Research and evaluate emerging technologies to enhance Data and AI capabilities.
Requirements:
- Degree in Computer Science, Data Science, Mathematics or a related IT field
- Proven experience in developing and deploying AI models using Python, Scala, Java, SQL for production environments
- Proficiency in processing and analysing large, complex datasets across diverse platforms including traditional data warehouses, in-memory DB, Hadoop, Spark, ElasticSearch, Kafka etc.
- Demonstrated expertise in applying machine learning, deep learning, natural language processing, and generative AI techniques to solve real-world problems
- Strong problem-solving and product development abilities.
- Proven ability to deliver high-quality systems within deadlines.
- Excellent time management, prioritization, and multitasking skills.
- Strong interpersonal and communication skills.
- Team-oriented, self-motivated and adaptable.