Junior Machine Learning Engineer

Matricstek Inc.; Tennessee; On-site; USD 65,000 - 95,000; Full time

Job summary

Matricstek Inc. is seeking a motivated Junior Machine Learning Engineer to join our AI and Data Science team in Tennessee. The role targets recent graduates or early-career professionals passionate about ML, AI, and data-driven problem solving.

You will assist in developing, testing, deploying, and maintaining ML models while collaborating with senior engineers, data scientists, and business stakeholders. The position emphasizes practical, production-focused ML work and cross-functional

Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
• Experience through internships, academic projects, research, or professional work.
• Proficiency in Python and SQL.
• Familiarity with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Understanding of statistics, data structures, algorithms, and ML fundamentals.
• Strong analytical thinking and problem-solving abilities.
• Excellent written and verbal communication skills.

Responsibilities

• Assist in developing, training, and evaluating machine learning models for business and operational use cases.
• Data collection, cleaning, preprocessing, and feature engineering to support model development.
• Write efficient Python and SQL code to analyze data and build machine learning solutions.
• Support the deployment, monitoring, and maintenance of machine learning models in production environments.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Create dashboards, reports, and visualizations to communicate model performance and analytical findings.
• Document processes, experiments, and technical solutions while adhering to software development best practices.

Skills

Python

SQL

Scikit-learn

TensorFlow

PyTorch

XGBoost

Data analysis

Communication

Education

Bachelor's degree

Tools

Git

Docker

AWS

Power BI

Tableau

Job description

We are seeking a motivated Junior Machine Learning Engineer to join our growing AI and Data Science team. This role is ideal for recent graduates or early-career professionals passionate about machine learning, artificial intelligence, and data-driven problem solving. The successful candidate will assist in developing, testing, deploying, and maintaining machine learning models while collaborating with senior engineers, data scientists, and business stakeholders.

Key Responsibilitie

• sAssist in developing, training, and evaluating machine learning models for business and operational use cases
• .Perform data collection, cleaning, preprocessing, and feature engineering to support model development
• .Write efficient Python and SQL code to analyze data and build machine learning solutions
• .Support the deployment, monitoring, and maintenance of machine learning models in production environments
• .Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• .Create dashboards, reports, and visualizations to communicate model performance and analytical findings
• .Document processes, experiments, and technical solutions while adhering to software development best practices

.Required Qualificatio

• nsBachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related fiel
• d.Experience through internships, academic projects, research, or professional wor
• k.Proficiency in Python and SQ
• L.Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoos
• t.Understanding of statistics, data structures, algorithms, and machine learning fundamental
• s.Strong analytical thinking and problem-solving abilitie
• s.Excellent written and verbal communication skill

s.Preferred Qualificati

• onsExperience with cloud platforms such as AWS, Azure, or Google Cloud Platfo
• rm.Knowledge of Git, Docker, and basic MLOps concep
• ts.Familiarity with data visualization tools such as Power BI, Tableau, or Matplotl
• ib.Exposure to NLP, Generative AI, Deep Learning, or Computer Vision through coursework or projec