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.