About the RoleWe're looking for a Senior ML Engineer to join a product team and help build, train, and ship machine learning models that power real user-facing features. This is a hands-on role for someone who enjoys owning the full lifecycle of a model - from experimentation through production deployment and monitoring - and who is comfortable working closely with product and engineering partners in a hybrid office environment.What You'll DoDesign, build, and train machine learning models to solve product problems, iterating from prototype to production.Own the MLOps lifecycle: experiment tracking, reproducible training pipelines, model versioning, deployment, and monitoring.Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions.Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.Monitor model performance in production, diagnose drift and degradation, and drive retraining and improvement cycles.Write clean, well-tested, production-grade Python code and contribute to shared ML tooling and best practices.Collaborate cross-functionally to define success metrics, run experiments (A/B tests), and communicate results to technical and non-technical stakeholders.What We're Looking For6–10 years of professional experience in software/ML engineering, with a strong track record of building and training ML models.Deep hands-on expertise in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).Practical MLOps experience - tools such as MLflow, Kubeflow, or Airflow for pipelines, tracking, and deployment.Required: Certified Azure experience (e.g., Microsoft Certified: Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure Databricks, or AKS.Solid understanding of the full ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.Strong communication skills and comfort working embedded within a cross-functional product team.Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Nice to HaveExperience with large language models (LLMs) or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI Service).
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