Job Description
Full-stack AI/ML experience (data ingestion through model deployment and maintenance). Strong analytical mindset with a bias towards skeptical, data-driven decision-making. Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale training and deployment. Ability to communicate technical concepts to both experts and laypersons. Knowledge of Agile or similar software development methodologies Design and implement high-impact AI/ML models and workflows, ability to work on Cloud architectures and build solutions, ensuring scalability and reliability on cloud platforms such as Databricks, VertexAI, etc.Collaborate with cross-functional teams (Data Engineering, ML Engineering, DevOps) to create holistic MLOps pipelines, leveraging frameworks such as MLflow and Kubeflow.Conduct thorough reviews of ML models for performance, bias, and drift, proposing corrective actions. Integrate AI (including TimeSeries,...
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