Machine Learning Engineer
Core
Design, build, and deploy AI/ML solutions (LLMs, predictive analytics, computer vision) to solve business problems and enhance the digital ecosystem in Freight and Logistics.
Role type
Machine Learning Engineer (AI Engineer)
Builds
Production AI models, intelligent applications, and integrated AI capabilities into Microsoft Power Platform and Azure services.
Domain
Freight and Logistics / Artificial Intelligence / Cloud Computing
Deliverable
production ML models | product features
Required skills
Python, Azure AI Services, LLM development (RAG, prompt engineering, embeddings), Microsoft Power Platform, SQL, MLOps, data engineering
Preferred skills
Generative AI solutions, Azure certifications, cross-functional collaboration, Responsible AI principles
Technologies
Python, PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel, Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Power Apps, Power Automate, Power BI, Dataverse, Copilot Studio, Git, CI/CD
Responsibilities
Identify and prioritize AI/ML use cases; design and deploy AI models and intelligent applications; build and fine-tune LLM solutions; embed AI capabilities into existing business applications; implement MLOps practices; partner with departments to drive AI adoption; establish AI governance frameworks.
Seniority
Mid-Senior, hands-on IC
