Machine Learning Engineer
Job details
What You’ll Do As a Machine Learning Engineer at Medeloop, you will be responsible for architecting AI-driven data pipelines, designing cutting-edge algorithms, and developing models to analyze complex healthcare datasets. You will collaborate closely with the product, engineering, and science teams to deliver machine-learning solutions that address critical business needs and drive innovation in healthcare. Key Responsibilities:
- Design and build end-to-end AI solutions that manage and track large-scale healthcare datasets.
- Develop models and algorithms to analyze healthcare data, ensuring performance optimization.
- Work closely with customers to understand their requirements and deliver features that align with their needs.
- Stay up-to-date with industry trends and new technologies in machine learning and healthcare data management.
- Influence the direction and culture of Medeloop with your initiatives and feedback.
- Strong foundation in theoretical machine learning principles and proficiency with machine learning frameworks such as PyTorch, Transformers, NumPy, and Pandas.
- Creative thinker with a passion for continuous learning and a deep curiosity to explore and understand machine learning research.
- Fast, results-driven engineer with a hands-on approach, eager to build and deliver solutions efficiently.
- Hands-on experience with cloud platforms (AWS, Azure, GCP, etc.), and experience working with large-scale healthcare datasets is a plus.
- Skilled with development tools and best practices, ready to challenge and overhaul existing features for superior solutions.
- Exceptional communicator, excited to wear multiple hats and work cross-functionally, adjusting swiftly to the shifting needs of the business while maintaining SOC2 and HIPAA compliance.
- Unafraid to challenge the status quo and driven by a motivation to innovate, build, and experiment with cutting-edge solutions.
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