Machine Learning Engineer

Tech Consulting

Michigan

On-site

USD 60,000 - 80,000

Full time

14 days+

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Job summary

Tech Consulting is seeking an enthusiastic Entry-Level AI/ML Engineer to join our team in a full-time role. The ideal candidate has a foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and contribute to real-world projects.

You will develop and evaluate models, preprocess data, and work with senior engineers to deploy solutions. Open to relocating across the United States as needed.

Qualifications

  • Bachelor's degree or equivalent coursework in Computer Science, AI, Data Science, Math or related field.
  • Recent graduates and candidates with relevant projects encouraged to apply.

Responsibilities

  • Develop, train, and evaluate machine learning models.
  • Clean, preprocess, and analyze structured and unstructured data.
  • Implement supervised and unsupervised ML algorithms.
  • Assist in developing AI solutions using Python and ML libraries.
  • Perform model testing and performance evaluation.
  • Document code, experiments, and findings.
  • Assist with deploying ML models into production environments.

Skills

Python fundamentals
Machine learning concepts
Data analysis
NumPy/Pandas/Scikit-learn
Statistics & probability
SQL basics
Git/GitHub
Problem solving
Communication

Education

Bachelor's degree in CS/AI/Data Science/Math/Engineering

Tools

TensorFlow or PyTorch

Job description

Job Description

Entry-Level AI / Machine Learning Engineer

Full-Time

Candidate must be open to relocate

Job Summary

We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and work on real-world projects.

Key Responsibilities

  • Develop, train, and evaluate machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Implement supervised and unsupervised machine learning algorithms.
  • Assist in developing AI solutions using Python and popular ML libraries.
  • Perform model testing, optimization, and performance evaluation.
  • Work with senior engineers and data scientists to solve technical problems.
  • Create data visualizations and reports to communicate model results.
  • Research emerging AI and machine learning techniques.
  • Document code, experiments, and project findings.
  • Assist with deploying machine learning models into production environments.

Required Skills

  • Basic knowledge of Python and programming fundamentals.
  • Understanding of machine learning concepts and algorithms.
  • Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools.
  • Basic understanding of statistics and probability.
  • Familiarity with SQL and databases.
  • Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
  • Knowledge of Git/GitHub
  • Strong problem-solving and analytical skills.

Good to Have

  • Exposure to TensorFlow or PyTorch.
  • Basic knowledge of deep learning and neural networks.
  • Familiarity with NLP, computer vision, or generative AI.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Academic, personal, internship, or GitHub projects involving AI/ML.

Education

Bachelor's degree or equivalent coursework in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field.

Recent graduates and candidates with relevant projects are encouraged to apply.

Experience Level

1-4 years of experience.

Internship, academic, and personal AI/ML projects are considered relevant experience.

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