Machine Learning Engineer

Our client in the Freight and Logistics sector is looking for a Machine Learning Engineer (AI Engineer) to join their team in Pomona. The successful candidate will be responsible for designing, building, and deploying Artificial Intelligence and Machine Learning solutions that solve real business problems and enhance the organisation’s existing digital ecosystem. This role focuses on identifying high‑value AI use cases, prototyping intelligent solutions, and integrating AI capabilities such as Large Language Models (LLMs), predictive analytics, computer vision, intelligent document processing, and conversational agents into the company’s current platforms including the Microsoft Power Platform, Azure services, and other line‑of‑business applications.

• Relevant Degree or Diploma in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, or a related field.
• Certifications such as Microsoft Certified:
  Azure AI Engineer Associate, Azure Data Scientist Associate, or equivalent (preferred but not mandatory).
• Minimum 3+ years of experience in AI/ML engineering, data science, or building AI‑enabled solutions in a production environment.
• Hands‑on experience developing and deploying LLM and/or generative AI solutions (e.g. RAG, chatbots, AI agents, intelligent document processing).
• Experience integrating AI services into existing business applications, ideally within the Microsoft ecosystem (Azure, Power Platform, Microsoft 365).
• Proven track record of delivering AI solutions that achieved measurable business outcomes.
• Experience working in cross‑functional teams alongside business stakeholders, developers, and data engineers.

• Strong proficiency in Python and common AI/ML libraries (e.g. scikit‑learn, PyTorch, Tensor Flow, Hugging Face, Lang Chain, Semantic Kernel).
• Hands‑on experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, and Azure AI Foundry.
• Experience building LLM‑based solutions: prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Working knowledge of Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) and AI Builder / Copilot Studio.
• Solid understanding of data engineering: SQL, APIs, data pipelines, and working with structured and unstructured data.
• Familiarity with MLOps, version control (Git), CI/CD, and cloud deployment patterns.
• Strong analytical, problem‑solving, and solution‑design abilities.
• Excellent interpersonal and communication skills; able to translate business needs into technical solutions and vice versa.
• Awareness of Responsible AI principles, data privacy, and AI security best practices.

• Identify, evaluate, and prioritise AI/ML use cases across the business and translate them into deployable solutions.
• Design, develop, and deploy AI models and intelligent applications using Python, Azure AI Services, Azure OpenAI, and related frameworks.
• Build and fine‑tune Large Language Model (LLM) solutions, including Retrieval‑Augmented Generation (RAG), prompt engineering, embeddings, and AI agents.
• Develop predictive models, classification systems, computer vision pipelines, and intelligent document processing solutions where applicable.
• Manage the full AI solution lifecycle: data exploration, model development, testing, deployment, monitoring, and continuous improvement.

• Embed AI capabilities into existing Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Power Pages, Dataverse) using AI Builder, Azure AI Foundry, and custom connectors.
• Integrate AI services into current line‑of‑business systems through APIs, custom connectors, Azure Functions,…