AI Engineer Consultant
At a glance
Mid-level AI Engineering role at AIA. Taguig · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Azure ETL workflows for reporting and analytics, then keep existing pipelines running and resolve issues
- Support people using the Azure cloud environment as part of the platform administration team
- Set up ways to deploy and maintain machine-learning models reliably in production
- Connect data scientists with engineering and architecture teams during development and production design
- Evaluate models before release, then track them and retrain when required
What you bring
- At least three years of relevant experience and a degree in computer science, mathematics, statistics or a related field
- Strong Python, MLOps, machine-learning and statistics capabilities, backed by solid software engineering skills
- Clear spoken and written English communication, plus analytical problem-solving and teamwork strengths
- Familiarity with Azure Databricks, MLflow, Docker, Kubernetes and database or cache systems such as SQL Server or MongoDB
Who this fits
This role suits a mid-level engineer with experience spanning Azure pipelines and machine-learning operations. You’ll work across data science, engineering and architecture teams, while also supporting Azure platform users.
From the employer
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.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.