Senior ML Engineer
New
W
WorkanaLife sciences, biotech
Must be based in the United States, with preference given to candidates who can work hybrid in Indianapolis, IN or travel to Indianapolis periodically., EDT/ESTContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonMachine LearningMicroservices
Requirements
- Proven track record as a Senior Machine Learning Engineer.
- Strong software engineering fundamentals.
- Strong industry and domain knowledge within life sciences, biotech, or scientific datasets.
- Advanced proficiency in Python and modern ML/software engineering practices.
- Demonstrated experience deploying, scaling, and operating ML models in production environments.
- Deep understanding of model inference, system design, microservices, and cloud-native workflows.
- Strong collaborative mindset and problem-solving ability.
- Fluent English mandatory for daily interaction with U.S.-based stakeholders.
- Must be based in the United States.
Responsibilities
- Own the architecture and implementation of production-grade ML systems and workflows.
- Transition models from development and research into scalable production services.
- Design and build reliable training, inference, evaluation, and deployment pipelines.
- Integrate ML models into APIs, backend services, applications, and core product workflows.
- Optimize ML systems for latency, throughput, scalability, reliability, and cost-efficiency.
- Establish engineering standards for model versioning, testing, observability, and deployment.
- Collaborate closely with domain experts, data scientists, and cross-functional teams.
- Diagnose and resolve technical bottlenecks across the ML application stack.
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