Machine Learning Operations Engineer
3 hours ago
We are looking for a Machine Learning Operations Engineer for one of our client companies in Mandaluyong Jobseekers requiring notice period or willing to work ASAP both encouraged to apply
The role is hybrid in Mandaluyong, with a focus on handling end-to-end processes from data analysis and feature engineering to model deployment and monitoring, working closely with process owners, business stakeholders and engineering teams to deliver scalable, production-ready AI and automation solutions. The candidate will take ownership of the entire model lifecycle driving experimentation, validation, deployment, and continuous optimization to create high-impact, AI-powered business value.
Requirements:
- Bachelor's Degree in Computer Science, Data Science, Machine Learning, or related field
- Proven experience as a Data Scientist, ML Developer, or similar roles
- Strong skills in ML libraries (e.g. Azure ML Studio)
- Strong grasp in statistical modelling, un/supervised learning, time-series forecasting, and NLP
- Experience in Data Engineering: ETL/ELT pipelines, data ingestion, transformation, orchestration, etc.
- Proficiency in programming languages: Python, R, SQL
- Data Pre-processing, feature engineering, and model evaluation
- Experience in CI/CD pipelines, model monitoring, and version control; knowledge of DevOps platforms
- Familiarity with cloud platforms (Azure, primarily), AWS, and deployment tools
Job Types: Full-time, Permanent
Pay: Php150, Php180,000.00 per month
Ability to commute/relocate:
- Mandaluyong: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- When can you start working with us? (include notice period, if any)
Education:
- Bachelor's (Required)
Experience:
- ML Engineer or similar: 5 years (Required)
Work Location: In person
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