Snowflake Data Warehouse Engineer
Taguig
| Full time
| Experience: 2-5 years
Python AI/ML Developer
Data Engineering Senior Analyst
|
Full time
|
Experience: 2-5 years
Stellenreferenz: R00276829
|
Taguig
We are seeking an experienced AI/ML Developer to design and deliver intelligent, data-driven solutions that power business decision-making. The ideal candidate has strong Python skills and deep knowledge in building and deploying AI/ML models, especially those based on Large Language Models (LLMs).
- Design and implement low-latency, high-availability, and scalable backend applications.
- Develop AI/ML frameworks to enable automated, intelligent business processes.
- Integrate server-side logic with data pipelines and front-end components.
- Write clean, reusable, testable, and efficient Python code.
- Implement data storage and retrieval strategies.
- Contribute to data platform design, ensuring reliable architecture for ML models.
- Collaborate with Integration and Data Architects to align on data model and system integration.
- Build robust APIs and services for AI/ML deployment.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 2 years of experience in backend and/or AI/ML development.
- Strong expertise in Python (core language and libraries).
- Proficient in integrating multiple data sources and databases into unified systems.
- Skilled in version control tools (e.g., Git, Mercurial, SVN).
- Knowledge of event-driven programming in Python.
- Experience with user authentication and multi-system integration.
- Capable of designing database schemas that support business processes.
- Understanding of Python’s threading model and multi-process architecture.
- Familiar with server-side templating (e.g., Jinja2, Mako).
- Basic understanding of front-end technologies (JavaScript, HTML5, CSS3) for integration.
- Strong debugging and unit testing skills.
- Security and accessibility best practices awareness.
- Experience optimizing applications across platforms (mobile vs desktop).
- Hands-on experience with Large Language Models (LLMs) — including prompt engineering, fine-tuning, and deployment.
- Familiarity with deep learning architectures and neural networks.
- Experience developing cloud-based AI solutions and integrating with AI services (e.g., AWS, Azure, GCP).
- Knowledge of Marketing Mix Modeling (MMM) is a plus.
- Excellent communication and collaboration skills.
#LI-PH
Taguig
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