AI/ML Engineer

Job#: 2083620

Job Description:

AI/ML Engineer

Type: 6-month contract to start

Location: United States - 100% remote

Other: Please note that visa sponsorship is not available at this time. This role is also not available for corp-to corp engagements.

?Key Responsibilities:

• Design and develop production-grade AI and machine learning models for real-world applications (e.g., recommendation engines, NLP, computer vision, forecasting).
• Lead model lifecycle management from experimentation and prototyping to deployment and monitoring.
• Collaborate with cross-functional teams (product, data engineering, MLOps, and business) to define AI-driven features and services.
• Perform feature engineering, data wrangling, and exploratory data analysis on large-scale structured and unstructured datasets.
• Build and maintain scalable AI infrastructure using cloud services (AWS, Azure, Google Cloud Platform) and MLOps best practices.
• Mentor junior AI/ML engineers, guiding them in model development, evaluation, and deployment.
• Continuously improve model performance by leveraging new research, retraining on new data, and optimizing pipelines.
• Stay current with the latest developments in AI, machine learning, and deep learning through research, conferences, and publications.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or related field.
• 10+ years of IT experience with a minimum of 6+ years of AI/ML
• Experience in AI/ML engineering, particularly with building LLM-based applications and prompt-driven architectures.
• Solid understanding of Retrieval-Augmented Generation (RAG) patterns and vector databases (especially Qdrant).
• Hands-on experience in deploying and managing containerized services in AWS ECS and using CloudWatch for logs and diagnostics.
• Familiarity with AWS Bedrock and working with foundation models through its managed services.
• Experience working with AWS RDS (MySQL or MariaDB) for structured data storage and integration with AI workflows.
• Practical experience with LLM fine-tuning techniques, including full fine-tuning, instruction tuning, and parameter-efficient methods like LoRA or QLoRA.
• Strong understanding of recent AI advancements such as multi-agent systems, AI assistants, and orchestration frameworks.
• Proficiency in Python and experience working directly with LLM APIs (e.g., OpenAI, Anthropic, or similar).
• Comfortable working in a React frontend environment and integrating backend APIs.
• Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform, AWS CDK).

Preferred Qualifications:

• Experience in Retail.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. 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 Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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 ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Apex Benefits Overview: 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. 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, 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. 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 Apex team member can provide.