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 sits on an AI Engineering team delivering scalable AI-powered solutions for real-world clients. You'll apply data, algorithms, and software engineering to design, build, test, and deploy AI/ML systems while working closely with product, data science, and engineering teams.

• Design and implement AI systems that transform raw data into actionable insights
• Develop and validate scalable machine learning models to support client decisions
• Integrate AI solutions with existing platforms alongside backend/frontend engineers
• Perform data wrangling, preprocessing, feature engineering, and dataset validation
• Apply advanced algorithms and performance tuning to improve model quality
• Build and deploy software components and pipelines that operationalize ML models
• Analyze complex datasets to surface patterns and business insights
• Support client engagements with clear documentation, demos, and technical recommendations
• Continuously learn new AI techniques, tools, and best practices
• Uphold professional and technical standards while contributing to team success

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Qualifications

Minimum requirements:

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

Preferred / distinguishing qualifications:

• Degree or coursework in Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering
• Certifications or hands-on experience with cloud or data platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, etc.)
• Demonstrated experience implementing ML models in production or near-production environments
• Strong analytical skills and the ability to communicate technical findings to non-technical stakeholders
• Experience supporting client-facing projects in fast-paced environments
• A proactive, ownership-driven mindset and a track record of delivering quality work

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Why You’ll Like This Role

• Work on applied AI projects that directly impact client outcomes
• Cross-functional teams with data scientists, ML engineers, and product owners
• Opportunity to grow technical skills and broaden experience in production ML systems
• Exposure to modern cloud and data tooling used in enterprise AI deployments

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Compensation & Benefits

• Salary range: $63,000 - $141,500 (range provided per applicable pay-transparency laws). Actual pay depends on skills, experience, location, and applicable law.
• Eligible for an annual discretionary bonus.
• Benefits include medical, dental, vision, 401(k), paid holidays, vacation, and personal/family sick leave (benefit details vary by location).
• The confidential client will comply with applicable state and local hiring and pay-transparency laws.

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Additional hiring information & compliance

• The confidential client is an equal-opportunity employer and will consider all qualified applicants without unlawful discrimination.
• For applicants impacted by local fair-chance ordinances (e.g., San Francisco, Los Angeles County, San Diego County, California state laws where applicable), arrest or conviction records will be considered in accordance with those laws.
• Sponsorship: the confidential client does not intend to sponsor H-1B lottery petitions for this role (unless otherwise noted in a separate policy).

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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.