ML Engineer

Posted Yesterday
4 Locations
Remote
Junior
Fintech • Financial Services
The Role
Own end-to-end ML model lifecycle from EDA and feature engineering to production deployment and monitoring. Collaborate with cross-functional teams to identify modeling opportunities, evaluate performance and business impact, integrate new data sources, and ensure scalable, observable production systems.
Summary Generated by Built In

We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas - including credit scoring, collection, antifraud, sales and other.
This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models


Preference will be given to candidates open to relocating to Manila
Your future tasks:

  • Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring

  • Collaborate with cross-functional teams - especially Collection and Product - to identify high-leverage modeling opportunities

  • Evaluate model performance and business impact, and iterate for continuous improvement

  • Explore and integrate new data sources (internal and external), identifying additional predictive signals

  • Work with production systems to ensure models are scalable, observable, and maintainable


What we expect from candidate:

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments

  • Solid foundation in classical ML techniques and fluency in core libraries such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, XGBoost/LightGBM/CatBoost etc

  • Strong proficiency in Python and SQL, experience with version control

  • Strong sense of ownership and accountability

  • Experience working with AWS (or other cloud environments) is a plus

Skills Required

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist
  • Solid foundation in classical ML techniques and fluency with libraries (Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, XGBoost, LightGBM, CatBoost)
  • Strong proficiency in Python and SQL
  • Experience with version control (e.g., Git)
  • Strong sense of ownership and accountability
  • Experience with AWS or other cloud environments
  • Open to relocating to Manila
Am I A Good Fit?
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The Company
1,189 Employees
Year Founded: 2022

What We Do

Salmon Group Ltd is a financial technology company serving Filipino consumers with modern, inclusive financial services. Its platform combines technology, product design, security, data analytics and customer care to make finance easier to access. Salmon offers consumer-focused products including short-term loans and digital banking services, with the broader mission of improving convenience, affordability and financial inclusion while operating securely around the clock.

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