AI Engineer Consultant

aia; Taguig; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Join AIA in the Philippines as part of the Data & Analytics team to develop and maintain ML/AI pipelines and models in Azure. You will collaborate with data scientists, IT, and engineers to design production-ready architectures, deploy ML solutions, and monitor performance across analytics projects.

Ideal candidates bring Python, ML, MLOps, and cloud experience, plus strong communication in English and a collaborative mindset.

Qualifications

• Degree in computer science, math, statistics or related.
• Strong knowledge and experience in Python.
• Strong knowledge and experience in MLOPS.
• Strong communication skills in English, both spoken and written.
• Strong knowledge and experience in machine learning and statistics.
• Strong Software engineering skills.
• Good knowledge of Agile, DevOps, TDD, CI/CD tools & methodologies.
• Familiar with Azure Databricks, MLFLOW, Docker, Kubernetes.
• Familiar with DB/Cache systems like SQL Server, MongoDB, Redis etc.
• Strong analytical, problem-solving and teamwork skills.
• 3+ years of relevant experience

Responsibilities

• Design and implement MLOPS, i.e. set of tools and operating models used to deploy and maintain machine learning models in production reliably and efficiently
• Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up
• Test and optimizing machine learning models and algorithms before they go in production
• Assist in monitoring and retraining models when needed

Skills

Python

MLOps

Azure

English communication

Machine learning

Statistics

Software engineering

Agile/DevOps

CI/CD

Data analytics

Education

Degree in computer science, math, statistics or related

Tools

Azure Databricks

MLFLOW

Docker

Kubernetes

SQL Server

MongoDB

Redis

Job description

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected.

Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

• Implement ETL pipelines in Azure cloud environment for reporting and analytics projects
• Monitor and support existing BAU pipelines in Azure cloud platform
• Provide infrastructure support to Azure cloud platform users as a part of the admin team

Roles and Responsibilities:

• Design and implement MLOPS, i.e. set of tools and operating models used to deploy and maintain machine learning models in production reliably and efficiently
• Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up
• Test and optimizing machine learning models and algorithms before they go in production
• Assist in monitoring and retraining models when needed

Minimum Job Requirements:

• Degree in computer science, math, statistics or related
• Strong knowledge and experience in Python
• Strong knowledge and experience in MLOPS
• Strong communication skills in English, both spoken and written
• Strong knowledge and experience in machine learning and statistics
• Strong Software engineering skills
• Good knowledge of Agile, DevOps, TDD, CI/CD tools & methodologies
• Familiar with Azure Databricks, MLFLOW, Dockers, Kubernetes
• Familiar with DB/Cache systems like SQL Server, MongoDB, Redis, etc.
• Strong analytical, problem-solving and teamwork skills
• 3+ years of relevant experience

Nice to Have:

• Good knowledge of Microsoft Azure stack (AMLS, Synapse, Data Factory, etc.)
• Strong knowledge of Databricks
• Strong knowledge of pySpark & SQL
• Strong experience in Python web framework like Flask, Django, FastAPI, etc.Strong knowledge of RDBMS and 2+ NoSQL database

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.