Senior AI Engineer - GenAI & MLOps Leader

enablesGROUP; Pasig; Hybrid; PHP 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Health and life insurance

20 leave credits

Career advancement

Laptop provided

Office in Pasig

Loyalty profit-sharing potential

In-house learning & development

Job summary

enablesGROUP is seeking a Senior AI Engineer to build, deploy, and maintain AI/ML models and pipelines. You will own AI/ML workstreams from development to production, ensuring robust, scalable solutions that meet enterprise standards.

The role emphasizes applied AI, prototyping Generative AI use cases, and strong software discipline in a collaborative environment. Hybrid schedule includes onsite Pasig office and remote options.

Qualifications

• 2+ years' experience in data science, machine learning engineering, or applied AI.
• Strong proficiency in Python and core ML libraries (scikit-learn, PyTorch, TensorFlow, Hugging Face).
• Hands‑on experience with Databricks (MLflow, notebooks, Unity Catalog).
• Practical experience building and deploying Generative AI solutions (LLMs, RAG, prompt engineering).
• Solid understanding of MLOps, including CI/CD for ML, model versioning, experiment tracking, and production monitoring.
• Strong software engineering fundamentals: Git, testing, code reviews.
• Familiarity with SQL and data modelling concepts (medallion architecture, star schema).
• Experience with cloud data platforms and regulated industries (life sciences/healthcare/pharma).
• Strong analytical and problem‑solving skills; good written and verbal communication.

Responsibilities

• Design, develop, and deploy ML and AI models across various use cases including NLP and Generative AI.
• Write clean, production‑quality Python code following engineering standards.
• Leverage Databricks (MLflow, NOTEBOOKS, Unity Catalog) and Azure AI services for scalable ML solutions.
• Build and maintain robust ML pipelines with CI/CD and IaC practices.
• Implement monitoring and alerting for deployed models including drift detection and retraining triggers.
• Contribute to MLOps toolchain and processes for efficiency and reproducibility.
• Conduct EDA and rapid prototyping to evaluate new AI/ML use cases.
• Design experiments to evaluate model performance and document findings.
• Collaborate with data engineers and BI to meet AI/ML workload requirements.
• Partner with stakeholders to translate requirements into ML problem statements.
• Share knowledge through documentation, code reviews, talks, and training.

Skills

Python

ML engineering

Generative AI

MLOps

Data analysis

Communication

Team collaboration

Problem solving

Tools

Databricks

MLflow

Unity Catalog

Azure AI

Git

CI/CD

Feature Store

Job description

enablesGROUP is seeking a Senior AI Engineer to build, deploy, and maintain AI/ML models and pipelines. You will own AI/ML workstreams from development to production, ensuring robust, scalable solutions that meet enterprise standards.

The role emphasizes applied AI, prototyping Generative AI use cases, and strong software discipline in a collaborative environment. Hybrid schedule includes onsite Pasig office and remote options.