AI Engineer
VISTRA
full-time
Posted on:
Location Type: Office
Location: Singapore • Singapore
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About the role
- Fine-tune and deploy machine learning models from initial research to production, ensuring scalability and performance for data extraction, parsing, and prediction in corporate secretarial and accounting use cases.
- Distil large model behaviors to smaller custom designed multimodal models jointly processing image + text and train them manually.
- Hand-design custom AI pipelines comprising of various model types like neural nets, decision trees, rule-based systems working together to achieve a common goal.
- Mathematical Innovation for novel AI techniques - we welcome original and first-principles thinking.
- Own the end-to-end ML pipeline (data processing, model fine-tuning, testing, deployment, and continuous optimization), implementing MLOps best practices for reliability and scalability.
- Architect, build, and maintain AI-driven data pipelines for structured and unstructured document processing using AWS Bedrock and other AWS services, ensuring data governance, security, and quality across the data lifecycle.
- Evaluate and implement AI-driven automation solutions to streamline corporate compliance workflows, ensuring adherence to regulatory requirements in corporate secretarial and accounting processes.
- Collaborate with cross-functional teams to gather requirements, perform feature engineering, model tuning, and code reviews, ensuring production-ready solutions.
- Implement and maintain data governance, data security, and data quality measures throughout the data lifecycle.
- Work closely with engineering teams to integrate AI-driven functionalities into our products.
- Participate in code reviews and provide technical expertise to ensure best practices in AI/data engineering.
- Continuously research and evaluate emerging AI and data technologies to enhance solutions, tools, and processes, driving business value and innovation.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Approximately 5-7 years of experience in AI/data engineering roles
- Proficiency in one or more programming languages commonly used in AI/data engineering (e.g. Python, Node.js)
- Strong knowledge of ETL/ELT processes, data warehousing concepts, and data pipeline orchestration
- Versed in mathematical foundations of training AI models from scratch (loss function surgery, convex optimization, attention blocks, convolution neural nets)
- Solid fundamental mathematical understanding of the transformer core architecture and its training
- Practical experience with machine learning model development, including model training, tuning, and deployment
- Familiarity with REST APIs or GraphQL endpoints
- Experience working in Scrum Agile software engineering teams
- Excellent problem-solving, analytical, and communication skills.
Benefits
- flexible hybrid working arrangement
- birthday leave
- comprehensive medical insurance and dental coverage
- wellness allowance
- competitive annual leave entitlement
- internal mentorship program
- reimbursement of professional membership fees for certifications like CA, or ACCA
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata processingmodel fine-tuningETLdata pipeline orchestrationPythonNode.jsmathematical foundations of AImodel trainingmodel deployment
Soft Skills
problem-solvinganalytical skillscommunication skillscollaborationfeature engineeringcode reviewsoriginal thinkingcross-functional teamworktechnical expertisecontinuous learning
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in a related field