AI/ML Engineer - Entry Level
The AI/ML Engineer - Entry Level role at Confidential Client is a full-time remote position focused on developing and implementing machine learning models to address real-world problems. Responsibilities include data collection and preprocessing, experimenting with various learning techniques, and building and evaluating predictive models such as neural networks. This role requires a strong foundation in computer science, statistics, and proficiency with AI/ML programming tools.
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
This is an entry-level, full-time remote role focused on building and evaluating machine learning models to solve real-world problems. You will work with data engineers, product teams, and senior ML engineers to move models from prototype to production.
- Collect, clean, and preprocess structured and unstructured data for modeling.
- Experiment with supervised and unsupervised learning methods.
- Build, train, validate, and evaluate models (e.g., neural networks, tree-based models).
- Implement model evaluation pipelines, metrics tracking, and basic model monitoring.
- Collaborate with cross-functional teams to translate product requirements into ML solutions.
- Document experiments, code, and results; follow reproducible workflows.
Qualifications
- Strong foundation in Computer Science fundamentals, algorithms, and data structures.
- Understanding of pattern recognition and basic neural network concepts (supervised and unsupervised learning).
- Background in statistics and probability for experiment design and model evaluation.
- Familiarity with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field — or equivalent practical experience.
Preferred / Nice-to-Have
- Experience with data preprocessing tools and libraries (pandas, NumPy).
- Familiarity with model evaluation, cross-validation, and basic hyperparameter tuning.
- Exposure to version control (Git), experiment tracking (MLflow, Weights & Biases), or basic cloud services is a plus.
- Strong communication skills and ability to explain technical work to non-technical stakeholders.
Location & Employment Type
This is a remote (telecommute) position. Applicants should be authorized to work in the United States. Employment type: Full-time.
Compensation
Estimated salary shown on the source listing: $79,326 per year (estimated). Exact compensation and benefits will be provided by the Confidential Client during the interview/offer stage, and will comply with applicable state and local pay transparency laws.
Why You’ll Like This Role
- Hands-on ML experience on real projects with mentorship from experienced engineers.
- Remote flexibility with opportunity to collaborate across product and engineering teams.
- Clear growth path from entry-level engineer to more senior ML engineering roles.
About the Employer
This position is listed on behalf of a Confidential Client. Careertakes handles recruiting support for this opening.
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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