ZipRecruiter

Log In

2

Entry Level Machine Learning Engineer Jobs in Charlotte, NC

AXS

Software Engineer

Charlotte, NC · On-site

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 ...

AXS

Software Engineer

Charlotte, NC

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 ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

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

Deloitte

Cyber - SecOps - Consultant

Charlotte, NC · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Jobtailor

Data Scientist - Level I / Level II

Charlotte, NC · On-site

$95 - $140/hr

Develop, test, and deploy statistical and machine learning models * Communicate findings through ... Perform data preparation, cleansing, and feature engineering * Write, maintain, and deploy code to ...

New

Vangard, Inc.

Data Scientist, Specialist

Charlotte, NC · On-site

... Engineering, Analytics, or a related quantitative field, or an equivalent combination of training and experience. * 2+ years of experience applying data science, machine learning, or advanced ...

Eliassen Group

MLOps / DevOps Engineer

Charlotte, NC · On-site

$70 - $81/hr

... Engineer focused on platform and infrastructure. The role emphasizes building and operating ... Familiarity with the machine learning lifecycle and model deployment workflows. * Experience ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

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 ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

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 ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

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 ...

CYNET SYSTEMS

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

... machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3. * Perform data collection, cleaning, and feature engineering to prepare datasets for ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Charlotte, NC

Entry Level Machine Learning Engineer information

See Charlotte, NC salary details

$29.3K

$67.7K

$115.3K

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

As of Aug 8, 2026, the average yearly pay for entry level machine learning engineer in Charlotte, NC is $67,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $76,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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?

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 Charlotte, NC? The most popular types of Machine Learning Engineer jobs in Charlotte, NC are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Charlotte, NC? For Entry Level Machine Learning Engineer jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Charlotte, NC look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Entry Level Machine Learning Engineer jobs? Cities near Charlotte, NC with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,747 per year, or $32.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rock Hill, SC • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply