Role overview
The company**
BBD is an international custom software solutions company that solves real-world problems with innovative solutions and modern technology stacks. With extensive experience across various sectors and a wide array of technologies, BBD’s core services encompass digital enablement, software engineering and solutions support, which includes cloud engineering, data science, product design and managed services.
Over the past 40 years, we have built a reputation for hiring the best talent and collaborating with client teams to deliver exceptional value through software. As the company has grown, this unwavering commitment to quality and continuous innovation has ensured clients get the full benefit from software that meets their unique environment.
What you'll work on
- Design and implement end-to-end AI/ML pipelines, from data ingestion to model deployment and monitoring
- Build and optimise Generative AI applications using RAG (Retrieval-Augmented Generation) architectures and LLM frameworks
- Develop and maintain scalable data processing workflows using modern big data tools
- Implement MLOps best practices for model lifecycle management, versioning and automated deployment
- Collaborate with data scientists and stakeholders to translate business requirements into technical solutions
- Ensure data quality, governance, and security across all AI and data platforms
What we're looking for
Core & General
NVIDIA Certified Associate: AI in the Data Center or similar GenAI certifications
DeepLearning.AI: Start or Advance Your Career in AI: Specialised courses (e.g., Generative AI with LLMs)
Cloud Platform: AWS
AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning and deploying ML models on AWS
AWS Certified Solutions Architect – Associate
Cloud Platform: Azure
Microsoft Certified: Azure AI Engineer Associate (AI-102): Validates ability to build, manage, and deploy AI solutions leveraging Azure Cognitive Services and Azure Applied AI Services
Microsoft Certified: Azure Data Scientist Associate (DP-100): Focuses on designing and implementing a data science solution on Azure
Data Platform: Databricks
Databricks Certified Machine Learning Professional: Demonstrates ability to use Databricks Machine Learning and MLflow for production ML tasks
Databricks Certified Generative AI Engineer Associate: Validates understanding of Generative AI concepts and the ability to develop LLM applications on Databricks
Databricks Certified Data Engineer Professional: For candidates with a stronger data engineering background