Senior Data Scientist: GenAI & MLOps Leader (Onsite)

Hammerjack Pty Ltd; Philippines; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Hammerjack Pty Ltd in Alabang, Philippines, seeks a Senior/Staff Data Scientist to design and deploy production-grade data and AI solutions across data engineering, ML, and Generative AI. The role demands deep hands-on experience with Databricks, PySpark, SQL, and Python, plus expertise in AI agents, RAG, and LLM evaluation.

You will mentor other data/AI professionals, collaborate with engineering and business teams, and drive governance, quality, and MLOps across enterprise initiatives.

Qualifications

• 10+ years of experience in Data Science, ML, or related fields.
• Strong hands-on experience with Databricks, PySpark, SQL, and Python.
• Proven experience in large-scale ETL/ELT and production data systems.
• Hands-on experience with Generative AI/LLMs and AI Agents.
• Strong experience with RAG, tool/function calling, embeddings, and LLM evaluation.
• Experience deploying and monitoring ML/AI solutions in production.
• Experience with MLOps/LLMOps and at least one cloud platform (AWS, Azure, or GCP).
• Strong software engineering practices, including Git, testing, and code review.

Responsibilities

• Design and manage scalable ETL/ELT pipelines using Databricks and PySpark.
• Develop and deploy machine learning and AI solutions in production.
• Build AI agents, RAG, and LLM-based applications for enterprise use cases.
• Implement data quality, monitoring, governance, and MLOps/LLMOps practices.
• Partner with engineering and business teams to deliver data and AI solutions.
• Provide technical guidance and mentorship to other data/AI professionals.

Skills

Databricks

PySpark

SQL

Python

MLOps/LLMOps

Generative AI/LLMs

RAG

Git

Job description

Hammerjack Pty Ltd in Alabang, Philippines, seeks a Senior/Staff Data Scientist to design and deploy production-grade data and AI solutions across data engineering, ML, and Generative AI. The role demands deep hands-on experience with Databricks, PySpark, SQL, and Python, plus expertise in AI agents, RAG, and LLM evaluation.

You will mentor other data/AI professionals, collaborate with engineering and business teams, and drive governance, quality, and MLOps across enterprise initiatives.