AI/ML Engineer

About the Role

We are looking for an experienced

AI/ML Engineer

witha strong background in machine learning and recent hands-on experience in

ArtificialIntelligence and Generative AI . The successful candidate will work onbuilding, deploying and supporting AI/ML solutions using the

Databricksplatform , collaborating with data, technology and business stakeholdersacross the region.

This role is suited to someone who combines strong MLengineering fundamentals with practical experience in emerging AI technologiesand can translate business requirements into scalable AI solutions.

Key Responsibilities

Design, develop and deploy scalable

Machine Learning and AI solutions

using Databricks.

Develop and productionise ML models across the end-to-end lifecycle, including data preparation, feature engineering, model training, evaluation and deployment.

Work with

Generative AI / LLM technologies

to develop practical AI use cases and solutions.

Build solutions involving

RAG, embeddings, vector search, prompt engineering and AI/LLM applications

where applicable.

Develop and optimise data and ML pipelines using

Python, PySpark and SQL .

Utilise

MLflow and Databricks ML/AI capabilities

for experiment tracking, model management and deployment.

Collaborate with Data Engineers, Data Scientists, Architects and business stakeholders to deliver production-ready solutions.

Implement appropriate practices around model monitoring, performance, scalability, security and responsible AI.

Stay current with emerging developments in

AI, GenAI and Machine Learning

and assess their applicability to business requirements.

Support technical discussions and communicate AI/ML concepts effectively to both technical and non-technical stakeholders.

Work with regional and international teams and stakeholders in a collaborative environment.

Required Skills & Experience

Bachelor's or Master's degree in

Computer Science, Data Science, Artificial Intelligence, Engineering

or a related discipline.

5+ years of experience

in Machine Learning, Data Science or AI/ML Engineering.

Strong hands-on experience with

Python

and SQL.

Strong experience with

Databricks

and modern data/ML platforms.

Practical experience developing and deploying

Machine Learning models

in production environments.

Recent hands-on experience with

AI / Generative AI / LLM technologies .

Understanding of ML lifecycle, MLOps, model deployment and monitoring.

Experience with

MLflow

or equivalent ML lifecycle management platforms.

Good understanding of data processing frameworks such as

PySpark .

Experience with cloud platforms such as

AWS, Azure or GCP .