Senior Machine Learning Engineer
New
A
Accompany HealthHealthcare Technology
United StatesFull-TimeSenior
Salary$175,000 - $200,000 a year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningData engineeringSoftware EngineeringMLOps
Requirements
- 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps.
- Graduate degree in Computer Science, Statistics, or related quantitative field.
- Strong proficiency in Python and SQL.
- Experience developing and maintaining ML pipelines for model training, evaluation, and deployment.
- Hands-on experience with tools like AWS Sagemaker or Bedrock.
- Experience developing and implementing modern LLM models and transformers.
- Experience deploying ML models in a production environment.
- Designing and implementing best practices for model versioning, experimentation, and reproducibility.
- Experience improving ML infrastructure for stability, scalability, observability, and security.
- Developing internal tooling and libraries to enhance ML workflow efficiency.
- Entrepreneurial mindset with ability to articulate complex technical ideas.
Responsibilities
- Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation.
- Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance.
- Help establish data engineering best practices and promote standards that enhance data accessibility across teams.
- Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics.
- Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity.
- Assemble large, complex data sets that address functional and strategic requirements.
- Partner with Executive, Product, Clinical, Data, and Design teams to drive process improvements.
- Create tools for analytics and data scientist team members to assist in product development.
- Design and implement comprehensive evaluation frameworks and benchmarks to assess model performance.
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