MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.
Responsibilities
- The task involves the development and upkeep of data pipelines for training and evaluating models
- Exploratory data analysis will be conducted to enhance model accuracy and performance
- Experiments and evaluations of machine learning models will be carried out to identify and address any issues
Requirements
- Strong experience in machine learning
- Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
- Strong analytical and problem-solving skills, as well as attention to details
Benefits
- Great challenges with many opportunities to prove yourself
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- 40 paid days off
- Competitive salary and performance-based bonuses
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