Junior ML Engineer — Build, Deploy & Improve Models

Emonics LLC; New York (NY); On-site; USD 95,000 - 120,000; Full time

Job summary

A technology solutions company based in New York seeks a Machine Learning Engineer to design, build, and deploy machine learning solutions. The ideal candidate will have a degree in a relevant field and strong skills in Python and data handling. Responsibilities include developing and training ML models, building data preprocessing workflows, and collaborating with engineering teams to ensure the reliability of ML systems. This position offers an opportunity to work in a collaborative environment focusing on operationalizing ML solutions.

Qualifications

• Degree in a relevant field like Computer Science or Data Science.
• Strong understanding of machine learning fundamentals and Python.
• Familiarity with data handling libraries such as pandas.
• Basic understanding of software engineering best practices like version control.

Responsibilities

• Develop and train ML models with reproducible pipelines.
• Build data preprocessing workflows and generate features.
• Deploy models to production and monitor their performance.
• Collaborate with stakeholders to define success metrics.

Skills

Strong Python

Data handling (pandas)

ML fundamentals

Understanding of Git

Education

Degree in CS, Data Science, Engineering, or related field

Tools

scikit-learn

Docker

Airflow

Job description

A technology solutions company based in New York seeks a Machine Learning Engineer to design, build, and deploy machine learning solutions. The ideal candidate will have a degree in a relevant field and strong skills in Python and data handling. Responsibilities include developing and training ML models, building data preprocessing workflows, and collaborating with engineering teams to ensure the reliability of ML systems. This position offers an opportunity to work in a collaborative environment focusing on operationalizing ML solutions.