Machine Learning Engineer
Newfire Global Partners is seeking a Machine Learning Engineer for a high-impact engagement with a national healthcare organization. You will build the production systems that move machine learning and AI from experimentation into secure, reliable use across clinical and operational workflows. This role sits at the intersection of data science, software engineering and cloud platforms. You will develop reusable pipelines and inference services, improve the machine learning platform and make sure models remain observable, scalable, governed and cost-effective in production.
Required Qualifications
● Bachelor’s degree in computer science, software engineering, data science, statistics or a related
quantitative field, or equivalent practical experience.
● At least three years of experience building and operating production software, data or machine
learning systems.
● At least two years of experience deploying and supporting machine learning models in production.
● Strong Python and SQL skills, plus experience with PySpark and distributed data processing.
● Demonstrated ability to write modular, tested and maintainable software.
● Hands-on experience with Azure and Databricks or comparable cloud and lakehouse platforms.
● Experience serving models through scheduled batch workloads, streaming pipelines or real-time APIs
using containers and orchestration tools.
● Experience with Git, code review, automated testing, CI/CD, infrastructure as code, secrets
management and environment promotion.
● Working knowledge of data and model observability, including lineage, drift, monitoring, retraining
triggers, rollback, and troubleshooting.
● Understanding of feature engineering, evaluation, reproducibility, data leakage and training-serving
skew.
● Ability to explain architecture, risk, and tradeoffs to technical and nontechnical partners.
Location: Fully remote. Candidates must be based in Poland, Romania, Croatia, or Portugal.