Managing Machine Learning Engineering team for AKASA's AI solutions in healthcare. Leading engineers to enhance machine learning capabilities and deliver advanced products in the field.
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
Oversee a high-performing team via hands-on contributions and coaching
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
Requirements
MS or PhD in Computer Science preferred, with an emphasis in Machine Learning
7+ years of work experience in Machine Learning
5+ years of people management experience, including building career development/growth plans, conducting performance reviews, and 1:1s with team members
Hands-on experience fine-tuning and training models in-house in your most recent role
Experience working with LLMs, RAG, and embeddings
Experience deploying trained LLMs to production
Proficiency in Python, PyTorch, and Kubernetes
Strong management and mentorship skills, fostering a collaborative and innovative team culture
Excellent written and oral communication skills with an ability to articulate technical concepts clearly and succinctly
Excellent quantitative critical thinking skills
Benefits
Flexible paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
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