Data Scientist/ML Engineer

We're looking for a Data Scientist / ML Engineer We're expanding our data science team to tackle complex analytics and automation challenges. This isn't a role where you just train models in a vacuum. We need someone who can sit down with business teams, understand their workflows and build production grade solutions that actually solve their problems. If you enjoy the bridge between domain logic and solid ML engineering, we'd love to chat. What you'll be doing: Partnering with business stakeholders to find high value opportunities and turning them into clear analytics projects. Taking ownership of the entire process from cleaning data, prototyping, testing to shipping models. Setting up robust MLOps practices so our models stay stable, monitored, and optimized in production. Helping team members grow their technical skills and consulting approach. What we're looking for: 3 to 10 years of experience (with at least 2 years focused specifically on ML/Data Science), backed by a quantitative degree (CS, Math, Engineering, etc.) preferred. Solid experience with traditional ML, boosting algorithms, time-series forecasting, and computer vision. Practical understanding of RAG architectures, embeddings, vector databases, and orchestrators like LangGraph, Promptflow, or Semantic Kernel. Strong Python skills, containerization (Docker, Kubernetes), and API development (REST/gRPC). You should be comfortable with MLOps tools (like MLflow) and CI/CD pipelines. Experience deploying on cloud infrastructure with a good grasp of enterprise governance, IAM, and secure engineering. Sound like a fit Send over your profile at [HIDDEN TEXT] or apply directly. Let's talk.