ML Engineer - Production Pipelines & MLOps

SupportFinity™; New York (NY); On-site; USD 105,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

401(k) retirement plan with company matching

15 vacation/PTO days

Job summary

SupportFinity™ is seeking a Machine Learning Engineer in New York, New York, to design and deploy advanced machine learning capabilities. This role emphasizes building integrated ML solutions that drive smarter decisions and innovation.

The ideal candidate will have a strong background in data science, proficiency in Python and SQL, and experience in orchestrating pipelines. Join us in fostering a healthier future for people, pets, and our planet.

Compensation ranges from $105,000 to $150,000 with a comprehensive benefits package.

Qualifications

• 3+ years of technical experience for Bachelor's or 1+ years for Master's/PhD.
• Expert knowledge in Data Science and Machine Learning Engineering.
• Hands-on experience with modern developer tools and IDEs.

Responsibilities

• Transition experimental ML models into robust production services.
• Design and maintain complex data and ML pipelines using Airflow and dbt.
• Apply advanced statistical modeling and validate models.

Skills

Python (Production-grade)

SQL

Data Science

Machine Learning Engineering

Airflow

Docker/Kubernetes

Education

Bachelor’s Degree in Statistics, Physics, Data Science, or Computer Science

Ph.D. in a quantitative field (Preferred)

Tools

Scikit-learn

CI/CD

Git

Job description

SupportFinity™ is seeking a Machine Learning Engineer in New York, New York, to design and deploy advanced machine learning capabilities. This role emphasizes building integrated ML solutions that drive smarter decisions and innovation.

The ideal candidate will have a strong background in data science, proficiency in Python and SQL, and experience in orchestrating pipelines. Join us in fostering a healthier future for people, pets, and our planet.

Compensation ranges from $105,000 to $150,000 with a comprehensive benefits package.