Entry Level AI Consultant Jobs
New grad ai consultant jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a long resume. Most openings mix on-site, remote, and hybrid settings across Consulting & Professional Services, Technology & Software, and Staffing & Recruiting, with employers like Boston Consulting, Deloitte, and Protiviti hiring at this level now.
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Showing 5 of 31+ Entry Level AI Consultant 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.
See All 31 Entry Level AI Consultant Jobs
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Find JobsEntry Level AI Consultant Job Market
Who's Hiring
- Boston Consulting10
- Deloitte5
- Protiviti4
- JPMorganChase2
- C Spire1
Top Industries Hiring
- Consulting & Professional Services14
- Technology & Software5
- Staffing & Recruiting4
- Energy1
- Education1
Entry Level AI Consultant Jobs: Frequently Asked Questions
How do I get an entry level ai consultant job?
Employers hiring at this level look for hands-on project work above almost everything else. Build a portfolio that demonstrates applied machine learning, prompt engineering, or data analysis, even if those projects came from coursework or personal builds. Familiarity with Python, common AI frameworks, and business communication gives candidates a clear edge. Internship experience, a relevant degree, or a recognized bootcamp certificate all strengthen an application at this stage.
Which companies hire entry level ai consultants?
Companies hiring entry level ai consultants right now include Boston Consulting, Deloitte, and Protiviti, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including consulting firms building out AI practices, technology companies staffing junior roles, and enterprise organizations launching their first AI initiatives.
Are there remote entry level ai consultant jobs?
Yes, though availability varies by employer and role type. About 29% of entry level ai consultant openings are remote or hybrid as of November 2026, making this one of the more flexible fields for candidates who need location independence. Many consulting engagements are project-based and structured around deliverables, which supports distributed work arrangements even for junior hires.
Are these new grad ai consultant jobs?
Yes, many of the roles listed here are new grad friendly and explicitly welcome recent graduates with little or no professional experience. A new grad posting typically accepts zero to two years of experience, counts internships or capstone projects toward qualifications, and treats a strong portfolio as a substitute for a long work history. Look for postings that mention junior, associate, or entry level in the title or requirements.
Which industries hire the most entry level ai consultants?
Entry Level ai consultant roles concentrate in Consulting & Professional Services, Technology & Software, and Staffing & Recruiting, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively building or scaling AI capabilities and need junior talent who can support implementation, analysis, and client-facing advisory work from day one.