AI Machine Learning Engineer
The AI Machine Learning Engineer at Confidential Client is an entry-level role focused on developing, testing, and deploying AI and machine learning models to enhance business capabilities. The position involves collaborating with cross-functional teams to integrate models into production, supporting data preprocessing and analysis, and contributing to ongoing AI/ML research and knowledge sharing within a hybrid work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring an entry-level AI Machine Learning Engineer to support the development, testing, and deployment of machine learning solutions that improve business outcomes. You will work alongside data scientists, engineers, and product teams to gain hands-on experience with real datasets and production workflows.
- Assist in designing, developing, and testing models for classification, regression, clustering, and recommendation tasks
- Support data preprocessing, feature engineering, and basic exploratory analysis
- Run experiments, evaluate models, and document findings for senior team members
- Help integrate trained models into production pipelines and support basic model validation
- Stay current with AI/ML research and share learnings with the team
Who You Are / Core Skills
- 1–2 years of experience in machine learning, data science, or software development (internships or academic projects count)
- Familiar with Python and common ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Comfortable with data manipulation and visualization tools (e.g., pandas, NumPy, matplotlib/seaborn)
- Basic understanding of ML algorithms and evaluation metrics
- Awareness of MLOps concepts (version control, containerization, model monitoring)
- Foundational knowledge of deep learning, NLP, or computer vision is a plus
- Strong analytical skills, attention to detail, and ability to document and communicate results clearly
Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field — or equivalent practical experience
- Relevant coursework, internships, or project experience demonstrating ML model development
- Preferred: entry-level certification such as Azure AI Fundamentals (not required)
Compensation & Benefits
Confidential Client offers a competitive compensation and benefits package.
- Compensation range: $102,800 - $176,000 per year
- Eligibility for discretionary bonus based on individual and firm performance
- Mentorship from experienced professionals and access to training and professional development programs
- Opportunities to work on enterprise-level projects and build your AI/ML engineering skills
Work Arrangement
This role follows a hybrid workstyle aligned to an office in Chicago, IL. Some on-site collaboration is expected to support clients, teams, and professional development.
Additional Information & Legal Notices
Confidential Client is an equal opportunity employer and does not tolerate discrimination or harassment. Reasonable accommodations are available upon request during the recruitment process. Applicants who require accommodations should notify the recruiter or Careertakes.
Note on sponsorship: Confidential Client does not intend to hire candidates who require immigration sponsorship now or in the future for this entry-level role.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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