AI Engineer Consultant

At AIA we’ve started an exciting movement to create a healthier, more sustainable 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