Senior Machine Learning Engineer
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The role
Design, build, and scale production-grade machine learning and Generative AI systems.
Develop and maintain ML models and LLM-powered applications, optimizing data pipelines and experiments.
Monitor model performance and ensure system reliability across the full model lifecycle.
Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and document best practices.
Leverage SQL, Python, Spark, Databricks, and cloud services to deploy robust analytics workflows.
Apply ML frameworks (XGBoost, Scikit-learn, TensorFlow, Keras, PyTorch) and MLOps/LLMOps tooling to deliver reliable solutions.
Develop and maintain ML models and LLM-powered applications, optimizing data pipelines and experiments.
Monitor model performance and ensure system reliability across the full model lifecycle.
Collaborate with stakeholders to translate requirements into scalable AI/ML solutions and document best practices.
Leverage SQL, Python, Spark, Databricks, and cloud services to deploy robust analytics workflows.
Apply ML frameworks (XGBoost, Scikit-learn, TensorFlow, Keras, PyTorch) and MLOps/LLMOps tooling to deliver reliable solutions.
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