Manager I, Data Scientist (AI)

Location: Manila, Philippines

Company

hirify.global delivers governance, risk, transparency, fintech, digital transformation, business intelligence, data governance, and AI solutions for financial institutions, law enforcement agencies, and government bodies.

What you will do

• Lead, mentor, recruit, and develop a team of junior, intermediate, and senior data scientists.
• Own the data science roadmap, prioritise initiatives, manage delivery, and communicate progress and impact to senior leadership and clients.
• Partner with product, engineering, and business stakeholders to define problems, scope ML solutions, and deliver measurable business outcomes.
• Provide technical oversight across the ML lifecycle, including problem framing, data validation, model design, experimentation, deployment, and monitoring.
• Establish standards for code quality, experimentation, model governance, and responsible AI.
• Drive Databricks and Azure ML infrastructure, MLOps, LLM, and generative AI initiatives, including RAG, prompt engineering, fine-tuning, and agentic frameworks.

Requirements

• Advanced degree (MS or PhD) in computer science, statistics, mathematics, data science, or a related quantitative field.
• 7+ years of applied data science or machine learning experience, including at least 2 years in people management or a technical lead capacity.
• Proven track record of delivering ML solutions to production and driving measurable business impact.
• Strong Python skills and fluency with scikit-learn, PyTorch or TensorFlow, Hugging Face Transformers, and pandas.
• Hands-on Databricks experience, including notebooks, jobs, MLflow, and Unity Catalog, as well as Spark or PySpark.
• Production Azure experience, ideally including Azure AI Foundry, Azure OpenAI Service, and Azure Data Lake.
• Experience across traditional and statistical ML, deep learning, NLP, and LLM or generative AI applications, including prompt engineering, RAG, embeddings, and agentic workflows.
• Experience establishing MLOps practices such as CI/CD, model monitoring, drift detection, and model versioning.
• Excellent communication skills for translating complex technical work into clear business narratives for senior leadership and clients.
• Strong judgment in prioritisation, tradeoffs, and managing competing stakeholder demands.

Nice to have

• Experience in financial services, risk, compliance, or regulatory domains.
• Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, LLM evaluation tooling, and production deployment of generative AI applications.
• Knowledge of responsible AI principles, including fairness, explainability, and data privacy.
• Experience with Docker, Kubernetes, and Azure DevOps or GitHub Actions.

Culture & Benefits

• Work with product, engineering, business, senior leadership, clients, and professionals from major financial institutions, law enforcement agencies, and government bodies.
• Contribute to governance, risk, and transparency initiatives involving complex client challenges.
• Represent data science internally and externally while communicating technical concepts and tradeoffs to technical and non-technical audiences.