AI/ML Engineer (Computer Vision) | Hybrid Work Setup

Key Responsibilities:

* Review, validate, and enhance training datasets to improve model accuracy and consistency.
* Design, build, and maintain scalable machine learning and data processing workflows.
* Create evaluation methodologies to assess model performance across multiple markets, datasets, and business contexts.
* Monitor model outcomes and recommend enhancements to improve effectiveness and efficiency.
* Run experiments involving feature development, model selection, hyperparameter optimization, and data enrichment techniques.
* Develop AI and computer vision solutions that address complex business requirements.
* Deploy and operationalize machine learning models within production environments.
* Support testing, monitoring, documentation, and continuous improvement of deployed models.
* Manage machine learning workloads and training processes within cloud-based platforms, primarily Azure.
* Utilize SQL to analyze large datasets and generate meaningful insights.
* Work closely with engineering teams to improve automation, reproducibility, and development best practices.

Qualifications:

* Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.
* At least 3 years of experience in Machine Learning Engineering, AI Engineering, or a similar technical role.
* Strong proficiency in Python and experience developing scalable applications and data pipelines.
* Hands-on experience with machine learning and data processing libraries such as scikit-learn, NumPy, pandas, Polars, and PyArrow.
* Practical experience with deep learning frameworks, preferably PyTorch.
* Strong SQL knowledge with the ability to perform complex data analysis and extraction.
* Experience using Azure Machine Learning or comparable cloud-based machine learning services.
* Understanding of software engineering fundamentals, including source control, code reviews, and collaborative development practices.
* Strong communication skills with the ability to create clear technical documentation.

Preferred:

* Background in computer vision, multimodal AI, transfer learning, or vision-language models such as CLIP and SigLIP.
* Experience using tools such as MLflow, Optuna, and PyTorch Lightning.
* Familiarity with MLOps concepts, CI/CD processes, containerized deployments, and automation workflows.
* Exposure to Databricks, Azure Blob Storage, or similar cloud data technologies.
* Ability to translate emerging machine learning research into practical business applications.
* Prior experience in retail analytics, consumer insights, market research, behavioral science, or related industries is a plus.

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***Only shortlisted candidates will be contacted. Updating or tailoring your CV is highly recommended***