Data Scientist
# Data Scientist **Moreton Bay Technology** · Pasig · `On-site` 🕒 **Статус:** *Опубликовано: 2 дня назад* · *Источник: Indeed* --- ### About the Role ML Engineer / Data Scientist Job Summary We're looking for a mid-level ML Engineer / Data Scientist to support model development, evaluation, and productionization of AI/ML capabilities across our data science initiatives. You'll work closely with our data science team to clean and prepare data, train and evaluate models, engineer prompts for LLM-based pipelines, and translate analysis into production-ready scripts for handoff to the software engineering team. You'll be mentored by our Senior Data Scientist / ML Engineer as you grow into full ownership of ML workflows. Key Responsibilities Model Development & Evaluation Support development, training, and evaluation of ML models and LLM-based pipelines, including prompt engineering, RAG, and evaluation frameworks (e.g., RAGAS) Monitor model performance and flag drift, quality regressions, or data issues Data Handling & Pipeline Engineering Clean, manipulate, and prepare datasets for model training and analysis Build and maintain data/ML pipelines (e.g., Airflow) supporting automation, scheduling, and monitoring Integrate analysis outputs and scripts into production-ready form for handoff to the software engineering team AI / LLM & Prompt Engineering Apply prompt engineering techniques for document and field extraction and other LLM-driven workflows Support integration of AI/LLM APIs (OpenAI, Claude, or similar) into evaluation and production pipelines Reporting & Communication Document model outcomes, evaluation results, and findings in clear, stakeholder-readable reports Present findings and recommendations to both technical and non-technical stakeholders Collaboration & Growth Work closely with data science and software engineering teams to ensure ML solutions are production-ready Take initiative in researching new approaches, tools, and techniques (e.g., MLOps practices, new model architectures) Support task management and output review as capability and ownership grow Core Technical Skills Programming & Data Strong proficiency in Python Data cleaning, manipulation, and preprocessing (pandas, NumPy, or similar) Machine Learning Model training and evaluation Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow, or similar) AI / LLM Prompt engineering and RAG concepts Experience integrating LLM APIs (OpenAI, Claude, Gemini, or open-source models) MLOps & Pipelines Familiarity with workflow orchestration tools (e.g., Airflow) Experience building or maintaining evaluation pipelines Reporting & Communication Ability to translate technical results into clear, non-technical reporting Nice to Have Experience with vector stores / embeddings (e.g., Elasticsearch, pgvector) Experience with evaluation frameworks (e.g., RAGAS) Exposure to MLOps practices (CI/CD for models, monitoring, deployment automation) Experience mentoring or supporting less experienced team members Experience working in a fast-moving environment with evolving priorities Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or equivalent practical experience Demonstrated experience in model training/evaluation and data analysis, ideally with some LLM/GenAI exposure Job Type: Full-time Pay: Php90,000.00 - Php120,000.00 per month Benefits: Health insurance Life insurance Work Location: In person
Наблюдалась 2026-09-15, впервые 2026-09-14, источник — Indeed.