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Junior Machine Learning Engineer

Matricstek Inc.

Location

Tennessee, United States

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Job Summary

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

ts.

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