Remote MLOps Engineer

Description:

• The MLOps Engineer role focuses on transforming language models into real-world applications for a global audience.
• This is a remote position based in Dublin, collaborating closely with the headquarters in Malaysia and cross-functional regional teams.
• The role involves operating across the stack, from backend logic and integration to frontend delivery, to build intelligent systems that scale quickly and have significant impact.
• Responsibilities include collecting, cleaning, and preprocessing user-generated text and image data for fine-tuning large models.
• The engineer will design and manage scalable data labeling pipelines, utilizing both crowdsourcing and in-house labeling teams.
• The role also requires building and maintaining automated datasets for content moderation, ensuring the distinction between safe and unsafe content.
• Collaboration with researchers and engineers is essential to ensure datasets are high-quality, diverse, and aligned with model training needs.
• The ideal candidate should enjoy ownership and independence, believe in clarity through action, and remain calm and effective in a fast-paced startup environment.
• A bias for speed and a willingness to view feedback and failure as part of growth are important traits for this role.

Requirements:

• Proven experience in preparing datasets for machine learning or fine-tuning large models is required.
• Strong skills in data cleaning, preprocessing, and transformation for both text and image data are necessary.
• Hands-on experience with data labeling workflows and quality assurance for labeled data is essential.
• Familiarity with building and maintaining moderation datasets, focusing on safety, compliance, and filtering, is required.
• Proficiency in scripting languages such as Python and SQL, along with experience working with large-scale data pipelines, is necessary.

Benefits:

• The position offers a flat structure with real ownership and full involvement in direction and consensus decision-making.
• Flexibility in work arrangements is provided.
• The role is high-impact with visibility across product, data, and engineering teams.
• Compensation is top-of-market, including performance-based bonuses.
• Employees gain global exposure to product development.
• Additional perks include housing rental subsidies, a quality company cafeteria, and overtime meals.
• Health, dental, and vision insurance are provided.
• Global travel insurance is available for employees and their dependents.
• Unlimited, flexible time off is offered to promote work-life balance.