Junior ML Engineer — Build & Deploy Scalable Models

Emonics LLC; Dallas (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Emonics LLC in Dallas, Texas, is seeking a Machine Learning Engineer (Fresher) to develop and deploy ML models for business applications. You will collaborate with data scientists and software engineers to create scalable ML solutions.

The role involves building and training models, cleaning datasets, and deploying pipelines. Candidates should have knowledge of Python and ML algorithms, with experience in Pandas, NumPy, and Scikit-learn, plus a solid understanding of statistics and probability.

Qualifications

• Knowledge of Python and machine learning algorithms
• Experience with Pandas, NumPy, and Scikit-learn
• Understanding of statistics and probability

Responsibilities

• Build and train ML models
• Clean and preprocess datasets
• Deploy machine learning pipelines

Skills

Python

Machine learning algorithms

Statistics and probability

Tools

Pandas

NumPy

Scikit-learn

Job description

Emonics LLC in Dallas, Texas, is seeking a Machine Learning Engineer (Fresher) to develop and deploy ML models for business applications. You will collaborate with data scientists and software engineers to create scalable ML solutions.

The role involves building and training models, cleaning datasets, and deploying pipelines. Candidates should have knowledge of Python and ML algorithms, with experience in Pandas, NumPy, and Scikit-learn, plus a solid understanding of statistics and probability.