Senior ML Engineer

🚀 Machine Learning Engineer (MLOps Focus) – NOT GenAII'm hiring a Machine Learning Engineer with strong MLOps / DevOps expertise to build and deploy production-grade ML systems.This is not a Generative AI role — I'm looking for engineers experienced in training, deploying, and scaling task-specific models.🔧 What you’ll doBuild & train ML models for tasks like classification, computer vision, and time-series analysisDesign and maintain end-to-end ML pipelinesDeploy models into production (real-time & batch)Improve performance, scalability, and reliability of ML systemsWork on edge / efficiency optimisation where needed🧠 What we’re looking forStrong experience with Python, PyTorch or TensorFlowSolid background in traditional ML / deep learning (not LLM-focused)Hands-on experience with MLOps tooling (e.g. MLflow, Kubeflow, Airflow)Experience with Docker / Kubernetes / CI-CD pipelinesProven track record of model deployment in production🚫 Not the right fit if your focus is:LLMs, Generative AI, prompt engineering, or RAG pipelines