Entry Level AI/ML Engineer

Matricstek Inc.

Boston, MAFresher3h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year · Bachelor's degree
Must know
Machine learningPythonscikit-learnPandasNumPyData structures & algorithms
Nice to have
PyTorchTensorFlowLLMsREST APIs
Work
On-site in Boston
Pay
Not stated by the employer.
Skill demand
Machine learning80%Python77%scikit-learn12%Pandas8%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 2, 2026 · still open

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About the Role

We are looking for a motivated and enthusiastic Entry-Level AI/ML Engineer to join our growing technology team. This role offers an opportunity to work on real-world projects, develop AI/ML models, and collaborate with experienced engineers to build intelligent, data-driven solutions.

Key Responsibilities

  • Assist in developing, training, testing, and deploying machine learning models for real-world applications.
  • Write clean and efficient Python code using libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch.
  • Collect, clean, preprocess, and analyze structured and unstructured datasets.
  • Apply machine learning algorithms for classification, regression, clustering, and predictive analytics.
  • Support the development of AI applications using Generative AI, Large Language Models (LLMs), and prompt engineering.
  • Evaluate model performance, troubleshoot issues, and document project findings and technical processes.

Requirements & Tech Stack

  • Basic to intermediate knowledge of Python programming and object-oriented programming.
  • Understanding of machine learning concepts, algorithms, and statistical fundamentals.
  • Familiarity with NumPy, Pandas, Matplotlib, and Scikit-learn.
  • Basic understanding of deep learning, neural networks, and NLP concepts.
  • Knowledge of SQL and basic database operations.
  • Familiarity with Git/GitHub, Jupyter Notebook, and data visualization tools.
  • Strong analytical thinking, problem-solving, communication, and willingness to learn.

Qualifications

  • Preferred: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
  • Academic projects, internships, or personal projects involving AI/ML.
  • Preferred: Basic exposure to TensorFlow, PyTorch, Generative AI, LLM APIs, or cloud platforms such as AWS, Azure, or GCP.

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