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.

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What You’ll Do

This role is for an AI Engineer / Data Scientist focused on building, testing, and deploying scalable AI/ML solutions in production environments. You will work cross-functionally with data scientists, ML engineers, software developers, and product teams to turn data and models into reliable, production-ready systems.

• Design and implement AI systems that convert raw data into actionable insights
• Develop scalable machine learning models to support client decision-making
• Integrate AI solutions into existing platforms alongside engineering teams
• Perform data wrangling, cleaning, feature engineering, and preprocessing
• Apply advanced algorithms and fine-tune models to improve performance
• Build, test, and deploy software components that leverage AI/ML (pipelines, APIs, model-serving)
• Analyze complex datasets to surface trends and support business strategy
• Support client engagements with high-quality deliverables and timely communication
• Continuously learn and apply new AI/ML techniques, tools, and best practices
• Maintain professional and technical standards while working within a team environment

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What You Must Have

• At least a Bachelor’s degree in a relevant field
• Minimum 1 year of professional experience in AI/ML, data science, or related engineering work

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Preferred / Nice-to-Have (What Sets You Apart)

• Degree focus in Analytics/Data Science, AI/Robotics, Computer Science, Information Systems, or Engineering
• Certifications or credentials in data engineering, ML, or cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, etc.)
• Proven experience implementing AI/ML models in production
• Familiarity with model deployment tooling, CI/CD for ML, and MLOps practices
• Strong analytical mindset and ability to translate data into insights
• Experience supporting clients in fast-paced, client-facing settings
• Demonstrated ability to deliver consistent, high-quality work and to build a professional reputation

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Compensation & Benefits

• Salary range: $63,000 — $141,500 (Actual compensation dependent on skills, experience, location, and applicable laws.)
• Eligible for annual discretionary bonus
• Typical benefits may include: medical, dental, vision, 401(k), paid holidays, vacation, and sick leave (benefit details vary by location and will be provided by the client)

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Location & Work Type

• Primary work location: Highland Park, TX (on-site / client location details will be provided in the hiring process)
• Employment type: Full-time

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Candidate Notes & Hiring Policies

• The client follows applicable US hiring laws and will consider fairness and compliance across state regulations.
• The client generally does not intend to sponsor H‑1B visas for experienced or entry-level applicants, except as stated in the client’s visa policy.

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Why Work Through Careertakes

• You’ll be supported by Careertakes as a third-party recruiter that helps match your skills to this opportunity and other roles.
• We screen and present candidates using best-practice recruiting methods; final hiring decisions are made by the client.

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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.