Job#: 3030923
Job Description:
AI Engineer
Location: REMOTE
Employment Type: Contract to Perm
Role Overview
This is a hands-on engineering role where you will own individual use cases end-to-end, from data exploration and feature engineering through model development and production deployment. You will work alongside a Senior ML/AI Engineer and report to the Director, ACE. You will operate within the architecture and MLOps standards set by the team while having the autonomy to drive your own projects to completion.
Key Responsibilities
Required Qualifications
Experience: 3+ years of experience in machine learning, AI engineering, or applied data science. Proven experience deploying ML models into production environments is required.
Technical Skills: Strong proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, scikit-learn, or Hugging Face. Experience with data pipeline tools and frameworks like Spark, Airflow, dbt, or SQL. Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes).
Preferred Qualifications
Company Overview & Culture
Our organization is a leader in its field, focused on leveraging cutting-edge technology to solve complex business challenges. We foster a collaborative environment where engineers have the autonomy to lead projects and make a tangible impact. This role is part of a dedicated team focused on developing advanced AI and machine learning solutions.
We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Apex uses a virtual recruiter as part of the application process. Click here for more details.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Employee Type:
Contract
Location:
Fort Lauderdale, FL, US
Job Type:
Applications and Data Management
Date Posted:
May 26, 2026
Pay Range:
$75 - $75 per hour
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