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Entry Level Machine Learning Engineer Jobs in Fort Mill, SC

Skills AI Developer Visa Types Green Card, US Citiz.. Title: AI Developer Job Type: Contract ... The ideal candidate will have experience with machine learning, generative AI, and software ...

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

Python Developer AI/ML

Charlotte, NC · On-site

$49 - $67.75/hr

In this role, you will work closely with Senior Engineers, leads, and product teams to design scalable machine learning pipelines, optimize model performance, and deliver production ready AI ...

Required : • Deep understanding of AI, machine learning, and software engineering principles. • Strong foundation in writing maintainable, testable, and modular code. • Design, develop, and ...

New

... machine learning techniques and collaborate with technology teams to operationalize them into ... engineering & prompt chaining • Conversational AI design patterns • Strong Programming ...

... machine learning techniques and collaborate with technology teams to operationalize them into ... engineering & prompt chaining • Conversational AI design patterns • Strong programming ...

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

... Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like ...

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

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Entry Level Machine Learning Engineer information

See Fort Mill, SC salary details

$26.4K

$61K

$103.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for entry level machine learning engineer in Fort Mill, SC is $60,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $69,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Fort Mill, SC? The most popular types of Machine Learning Engineer jobs in Fort Mill, SC are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Fort Mill, SC? For Entry Level Machine Learning Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Fort Mill, SC look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Fort Mill, SC are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Fort Mill, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $60,952 per year, or $29.3 per hour.
JB061726 - AI Developer

JB061726 - AI Developer

USM

Charlotte, NC • On-site

Contractor

Posted 16 days ago


Job description

  • Start Date: Interview Types
  • Skills AI Developer Visa Types Green Card, US Citiz..

  • Title: AI Developer
    Job Type: Contract
    Location: (Charlotte, NC or Plano, TX)
    Job Summary
    We are seeking an AI Developer to design, develop, and deploy AI-powered applications. The ideal candidate will have experience with machine learning, generative AI, and software development, and will be responsible for integrating AI solutions into business products and workflows.
    Key Responsibilities
    • Develop and maintain AI-powered applications and services.
    • Integrate Large Language Models (LLMs) and AI APIs into web and mobile applications.
    • Build and optimize prompts, workflows, and AI agents.
    • Develop Retrieval-Augmented Generation (RAG) systems using vector databases.
    • Collaborate with product managers, designers, and software engineers to deliver AI features.
    • Fine-tune and evaluate machine learning models when required.
    • Implement testing, monitoring, and performance optimization for AI applications.
    • Ensure security, privacy, and responsible AI practices.
    • Document technical designs and development processes.