Jr Data Scientist

Smart Communications, Inc.; Philippines; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Smart Communications, Inc. in the Philippines is seeking a seasoned ML/AI engineer to design, develop, and deploy end‑to‑end machine learning solutions across on‑premises and cloud environments, collaborating with cross‑functional teams.

You will own the full ML lifecycle from data preparation and feature engineering to model deployment, monitoring, and iteration, ensuring scalability, reliability, and robust performance.

Qualifications

• 2–4+ years’ experience with the full ML/AI lifecycle from data preparation to deployment and monitoring.
• Strong proficiency in Python, SQL, and experience with AWS/Databricks environments.
• Good communication skills to explain complex ML/AI concepts to diverse stakeholders.
• Exposure to Generative AI or LLMs, with understanding of responsible AI practices (bias, fairness, data privacy).
• Hands-on experience with LLMOps, RAG, or Agentic AI.
• Version Control (git) and experience with CI/CD pipelines for ML model deployment.

Responsibilities

• Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on premises and cloud environments.
• Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring.
• Prepare, clean, and transform data to be used for training and inference.
• Ensure the scalability, reliability, and performance of machine learning models.
• Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
• Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
• Translate analytical findings into clear recommendations for stakeholders.
• Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.

Skills

Python

SQL

Full ML lifecycle

LLMOps / Agentic AI

Generative AI / LLMs

Bias & Data Privacy

CI/CD pipelines for ML

Communication

AWS / Databricks

Education

Bachelor’s degree in quantitative field

Tools

Git

CI/CD tools for ML

Job description

Job Description:

Education

Bachelor’s degree holder of any quantitative discipline such as Data Science, Statistics, Computer Science, or related quantitative field

Qualifications

• 2–4+ years’ experience with the full ML/AI lifecycle from data preparation to deployment and monitoring
• Strong proficiency in Python, SQL, and experience with AWS/Databricks environments
• Good communication skills to explain complex ML/AI concepts to diverse stakeholders
• Exposure to Generative AI or LLMs, with understanding of responsible AI practices (bias, fairness, data privacy)
• Hands-on experience with LLMOps, RAG, or Agentic AI
• Version Control (git) and experience with CI/CD pipelines for ML model deployment

Duties And Responsibilities

• Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on premises and cloud environments.
• Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring.
• Prepare, clean, and transform data to be used for training and inference.
• Ensure the scalability, reliability, and performance of machine learning models.
• Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
• Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
• Translate analytical findings into clear recommendations for stakeholders.
• Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.