Entry Level AI Specialist Jobs
New grad ai specialist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on internship work can matter more than a long resume. Most openings mix on-site and remote settings across Technology & Software, Education, and Marketing & Advertising, with employers like JPMorganChase, GitLab, and TikTok hiring at this level now.
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Showing 5 of 26+ Entry Level AI Specialist jobs
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
Job Description: AI/ML Engineer
Full-Time Position
IT – Technology
Job Title: Artificial Intelligence / Machine Learning Engineer
Department: Information Technology / Engineering
Experience: 2–5 Years (depending on company requirements)
Job Location: USA / Remote / Hybrid
1. Job Summary
We are looking for a skilled AI/ML Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will work with large datasets, build predictive models, develop intelligent applications, and improve existing systems using machine learning algorithms and deep learning techniques.
2. Roles and Responsibilities
- Design, develop, and deploy machine learning models and AI-based applications.
- Collect, clean, process, and analyze large datasets.
- Develop predictive models using machine learning algorithms.
- Implement deep learning techniques for complex data analysis.
- Work with Natural Language Processing (NLP) and computer vision technologies.
- Build and optimize AI models to improve accuracy and performance.
- Collaborate with data scientists, software developers, and engineering teams.
- Integrate AI/ML models into existing applications and business systems.
- Monitor deployed models and improve their performance.
- Research emerging AI technologies and industry trends.
3. Required Technical Skills
- Programming Languages: Python, R, Java, C++.
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras.
- Data Processing: Pandas, NumPy, SQL.
- Deep Learning: Neural Networks, CNN, RNN.
- AI Technologies: Generative AI, Large Language Models (LLMs), NLP.
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
- Data Visualization: Tableau, Power BI, Matplotlib.
- Tools: Jupyter Notebook, Git, Docker, Kubernetes.
4. Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of mathematics, statistics, and computer science fundamentals.
5. Preferred Skills
- Experience developing and deploying AI/ML models.
- Knowledge of cloud-based machine learning platforms.
- Understanding of MLOps and model lifecycle management.
- Experience working with large-scale datasets.
- Strong analytical, problem-solving, and communication skills.
6. Key Performance Indicators (KPIs)
- Model accuracy and prediction performance.
- Efficiency of AI/ML model deployment.
- Reduction in processing time.
- Quality and reliability of developed AI solutions.
- Successful integration of AI models into business applications.
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Top Industries Hiring
- Technology & Software
- Education
- Marketing & Advertising
- Energy
- Insurance
Entry Level AI Specialist Jobs: Frequently Asked Questions
How do I get an entry level ai specialist job?
Entry level ai specialist employers look for demonstrated hands-on ability over years of experience. A portfolio of personal or academic projects, familiarity with Python and machine learning frameworks like TensorFlow or PyTorch, and any internship or research experience will carry significant weight. Bootcamp graduates and self-taught candidates who can show working models or Kaggle competition results are competitive at this stage.
Which companies hire entry level ai specialists?
Companies hiring entry level ai specialists right now include JPMorganChase, GitLab, and TikTok, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large technology firms, AI-focused startups, and enterprise companies building out their first dedicated AI teams.
Are there remote entry level ai specialist jobs?
Yes, though availability varies by employer and team. About 33% of entry level ai specialist openings are remote or hybrid as of November 2026, making this one of the more flexible fields for candidates who need location flexibility. On-site roles still exist, particularly at startups and companies that prefer in-person collaboration for early-career hires.
Are these new grad ai specialist jobs?
Yes, many of these postings are new grad roles that explicitly welcome recent graduates and junior candidates with little or no professional experience. A new grad-friendly posting typically lists zero to two years of experience as sufficient, accepts internships or academic projects in place of full-time work history, and values a strong portfolio over a lengthy resume. Junior and associate-level titles signal the same entry point.
Which industries hire the most entry level ai specialists?
Entry Level ai specialist roles concentrate in Technology & Software, Education, and Marketing & Advertising, based on current listings on Migrate Mate as of November 2026. These sectors are expanding their AI teams rapidly and are among the most willing to bring in entry level talent because demand for skilled practitioners outpaces the available experienced candidate pool.