AI Engineer
At a glance
Mid-level AI Engineering role at Vistra. Singapore.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Bring machine-learning models from early research into production for document extraction, parsing and prediction in secretarial and accounting work
- Compress large-model behavior into custom multimodal systems that handle image and text together, and train those models
- Combine neural networks, decision trees and rule-based methods into purpose-built AI pipelines
- Run the full ML lifecycle, from data preparation and model testing through deployment and ongoing performance improvements
- Build AWS-based document data pipelines and add AI automation to compliance workflows while protecting data quality and security
What you bring
- A bachelor’s degree in computer science, engineering or a related discipline
- Around five to seven years in AI or data engineering roles
- You can develop, tune and deploy machine-learning models, with a strong grasp of transformer architecture and AI training mathematics
- You know ETL or ELT, data warehousing and pipeline orchestration, and can code in Python, Node.js or another listed language
Who this fits
This full-time, permanent role is based in Singapore and reports to the Engineering Lead. It suits a mid-career AI engineer who wants to build and deploy models, document pipelines and compliance automation, with room to explore new mathematical approaches. The role involves working with engineering and cross-functional teams; the office offers a flexible hybrid arrangement.
From the employer
It’s never been a more exciting time to join Vistra.
At Vistra our purpose is progress. We believe that our clients have the power to change the world and to do great things for global progress, and we exist to remove the friction that comes from the complexity of global business – to help our clients achieve progress without friction.
But progress only happens when people come together and take action. And we’re absolutely committed to building a culture where our people can do just that.
We are seeking a highly skilled and motivated AI Engineer to join our dynamic and innovative team. Reporting to the Engineering Lead, this full-time and permanent position is based in Singapore.
Key Responsibilities:
- 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. You will be encouraged to ideate out-of-box fundamental scientific solutions and given bandwidth to experiment.
- 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.
Key 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.
Bonus Experience:
- Experience with Next.js and TypeScript.
- Experience with RLHF (Reinforcement Learning with Human Feedback).
- Familiarity with Terraform or other Infrastructure as Code (IaC) tools.
- Exposure to large language models or generative AI techniques.
- Experience with advanced data visualization tools or analytics platforms.
Company Benefits:
At our Singapore office, we believe in putting our employees’ well-being first! We offer a flexible hybrid working arrangement and birthday leave.
Additionally, we provide comprehensive medical insurance and dental coverage, wellness allowance and competitive annual leave entitlement to support your well-being and time to recharge or explore your passions out of work.
As advocates of continuous learning and professional development, we provide an internal mentorship program and reimburse professional membership fees for certifications like CA, or ACCA, ensuring you stay ahead in your field.
If you are excited about working with us, we encourage you to apply or have a confidential chat with one of our Talent Acquisition team members. Our goal is to make this a great place to work where all our people can thrive. We hope you join us on this exciting journey!