Sr. Engineering Manager, Machine Learning

AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, aiming to enhance healthcare operations. The Sr. Engineering Manager will oversee the Machine Learning Engineering team, focusing on improving machine learning capabilities and delivering innovative products.

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