Founded in 2003, One Outsource Direct Corp (OODC) is a leading BPO provider based in the Philippines, offering value‑driven solutions to local and international clients for over 21 years.
Join One Outsource
At OODC, you'll be part of a dynamic team that values initiative, continuous learning, and exceptional customer service. We offer career opportunities where passionate team members can grow, excel, and achieve success in a fast‑paced environment.
Job Description
One Outsource Direct Corporation (OODC) is seeking a highly analytical and detail‑oriented Machine Learning Engineer to join our team in a hybrid setup based in Makati. This role is essential for developing, deploying, and maintaining robust machine learning models, with a strong focus on data and annotation pipelines.
Responsibilities
- Develop, deploy, and maintain production‑level machine learning models.
- Collaborate directly with OODC project coordinators and client‑side research, data science, and annotation teams to integrate ML solutions.
- Design, manage, and optimize large‑scale data and annotation pipelines, ensuring data quality and consistency.
- Evaluate and validate model outputs and training data to ensure they meet technical and performance standards.
- Adopt new ML frameworks, algorithms, and data taxonomies efficiently based on project requirements.
- Analyze and assess data usefulness, feature relevance, and model alignment with established metrics.
- Document model architectures, data pipelines, and performance results for internal and client review.
- Participate in collaborative, multi‑round model refinement and review cycles with research and annotation teams.
- Communicate technical concepts and model performance insights clearly to both technical and non‑technical stakeholders.
- Work up to 40 hours per week in a hybrid setup, requiring both remote and on‑site presence in Makati.
Qualifications
Education : Bachelor’s degree (minimum) in Computer Science, Data Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field.Experience : 2–5 years in a data‑centric role or related position such as Software Engineer, Data Scientist, or ML Engineer.Technical Proficiency : Strong hands‑on experience with commercial or open‑source data annotation tools and platforms.Data / ML Knowledge : Solid understanding of machine learning principles, data labeling methodologies (e.g., bounding boxes, segmentation, transcription, NLP labeling), and impact of data quality on model performance.Project Management : Proven experience managing complex projects, meeting deadlines, and coordinating large or diverse teams.Analytical Skills : Strong critical thinking and problem‑solving abilities to identify issues and select the most suitable ML approaches.Communication : Excellent verbal and written communication skills, with the ability to explain technical results clearly to both technical and non‑technical audiences.Adaptability : Willingness to continuously learn and adapt in a rapidly evolving field of AI and data science.Job Details
Seniority level : Entry levelEmployment type : Full‑timeJob function : Engineering and Information Technology#J-18808-Ljbffr