Healthcare ML Engineer - Production AI, Remote

Lokra; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Healthcare AI impact

Professional growth opportunities

Job summary

Lokra is seeking a Machine Learning Engineer to develop and productionize useful, responsible AI capabilities for healthcare workflows. You will collaborate with product, data, and engineering teams to move from problem definition and experimentation to evaluated, monitored solutions.

You will implement robust pipelines, assess data quality, and monitor model performance with an emphasis on safety, privacy, and regulatory considerations.

Qualifications

• 3+ years of experience in machine learning, applied AI, or a closely related engineering role.
• Strong programming skills in Python and experience with common ML tooling.
• Experience preparing data, training or adapting models, and evaluating results.
• Understanding of production ML concerns such as reproducibility, monitoring, and model drift.
• Ability to explain uncertainty, limitations, and technical findings clearly.
• Careful approach to privacy, safety, and responsible use of data.

Responsibilities

• Develop, evaluate, and iterate on machine learning or AI solutions for defined product needs.
• Prepare and assess data while documenting assumptions, limitations, and quality concerns.
• Build reliable pipelines and services for deploying and operating models.
• Measure model performance and monitor for quality, reliability, and unintended behavior.
• Collaborate with backend engineers to integrate models into production workflows.
• Communicate results and technical trade-offs to technical and non-technical stakeholders.

Skills

Python programming

Machine learning

Data preparation

Model deployment

Monitoring & drift

Uncertainty explanation

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Lokra is seeking a Machine Learning Engineer to develop and productionize useful, responsible AI capabilities for healthcare workflows. You will collaborate with product, data, and engineering teams to move from problem definition and experimentation to evaluated, monitored solutions.

You will implement robust pipelines, assess data quality, and monitor model performance with an emphasis on safety, privacy, and regulatory considerations.