Senior Machine Learning Engineer
AKASA
full-remoteseniorpermanentbackenddata Full remote 13 days ago via WTTJ
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Machine LearningData EngineeringLarge Language ModelsAgentic WorkflowsPythonC++AWSKubernetesPyTorchTensorFlow
About the role
Role overview
Senior Machine Learning Engineer (Full remote) at AKASA, collaborating with PhD researchers, ML engineers, and healthcare experts to build production-grade ML solutions for healthcare at scale.
Key missions
- Develop cutting-edge ML solutions to address healthcare problems at large scale.
- Build data pipelines to collect, preprocess, and deliver datasets with measurable quality.
- Write production-ready software with well-tested, efficient algorithms.
- Own ML services end-to-end (from development to production).
Responsibilities
- Collaborate across research and engineering teams.
- Work with large proprietary medical and clinical datasets.
- Launch and maintain ML systems in production.
Requirements
- Full-stack development experience for end-to-end ML solutions.
- Master’s degree in Computer Science or related field.
- Experience launching production ML systems from scratch.
- Proficiency in one or more programming languages such as Python and/or C++.
- 5+ years of experience in machine learning and data engineering.
Nice-to-haves
- Experience with Large Language Models (LLMs), including open-source model deployment and agentic workflows.
- Cloud/platform experience with Spark, AWS, and Kubernetes (k8s).
- ML framework experience with scikit-learn, PyTorch, and TensorFlow.
About AKASA
AKASA is a healthcare-focused technology company working on machine learning solutions. The role emphasizes developing state-of-the-art ML systems using large proprietary medical and clinical datasets, combining ML engineering with healthcare expertise.
Scraped 6/13/2026