Machine Learning Engineer

Glorio Group; Texas; On-site; USD 55,000 - 85,000; Full time

Job summary

Glorio Group in Texas seeks a motivated Junior Machine Learning Engineer to gain hands-on experience building and deploying ML solutions. You will work closely with experienced engineers and data scientists to develop models and integrate them into real applications.

You will participate in all stages of the ML lifecycle—from data preparation and model development to evaluation, deployment, and monitoring—while learning best practices and expanding practical ML skills in a collaborative

Qualifications

• Pursuing or recently completed a Bachelor's or Master's degree in CS/ML/DS.
• Fundamental ML concepts and algorithms knowledge.
• Python programming proficiency.
• Experience with ML libraries (scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Assist in collecting, cleaning, and preparing datasets.
• Develop, train, and evaluate ML models under guidance.
• Apply ML techniques to classification, regression, clustering.
• Collaborate with software engineers to integrate ML models into applications.
• Document experiments and model results.
• Research emerging ML techniques and tools.

Skills

Python

Analytical thinking

Problem solving

Communication

Education

Bachelor's or Master's degree in CS/ML/DS

Tools

scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

SQL

Job description

We are seeking a passionate and motivated Junior Machine Learning Engineer to join our team and gain hands-on experience in developing and deploying machine learning solutions. As a Machine Learning Engineer, you will work closely with experienced engineers and data scientists to build intelligent applications, analyze data, and develop models that solve real-world problems. You will have the opportunity to participate in all stages of the machine learning lifecycle, from data preparation and model development to evaluation, deployment, and monitoring.

Responsibilities:

• Assist in collecting, cleaning, and preparing datasets for machine learning projects.
• Develop, train, and evaluate machine learning models under the guidance of experienced team members.
• Apply machine learning techniques to classification, regression, clustering, and prediction problems.
• Assist in implementing data processing pipelines and feature engineering workflows.
• Collaborate with software engineers and data scientists to integrate machine learning models into applications.
• Evaluate model performance and help improve accuracy, reliability, and efficiency.
• Research emerging machine learning techniques, tools, and technologies.
• Document experiments, model results, and development processes.

Qualifications:

• Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field.
• Strong understanding of fundamental machine learning concepts and algorithms.
• Programming experience in Python.
• Familiarity with machine learning libraries such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Basic understanding of data preprocessing, feature engineering, statistical methods, and model evaluation techniques.
• Familiarity with SQL and data analysis techniques is a plus.
• Understanding of common machine learning evaluation metrics and model validation techniques is an advantage.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively as part of a team.
• Eagerness to learn new technologies and apply machine learning techniques to practical problems.