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Sr. Engineering Manager, Machine Learning
AKASAHealthcare Revenue company
United StatesSenior
Data & AI
About the role
Manage ML engineering team, oversee model development lifecycle.
- •This is an exciting opportunity to manage our Machine Learning Engineering (MLE) team.
- •The MLE team has the exciting mandate of taking ML research improvements to production and ensuring that they create value for our customers.
- •Key Responsibilities Lead a talented team of engineers focused on improving AKASA’s machine learning capabilities and delivering cutting-edge products Supervise and directly contribute across all parts of the LLM stack, including model fine-tuning, inference, evaluation, and deployment Develop infrastructure and tooling to improve the model development lifecycle Requirements Translate business requirements into technical designs that work within constraints such as latency, cost, performance, and uptime Set the vision and direction for the team and attract top talent to join AKASA
Tech stack
PythonTensorFlowPyTorchscikit-learnKubernetesAWS
Match insights
Tech:Python, TensorFlow, PyTorch, scikit-learn, Kubernetes
Level:Senior