Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Apex Systems is a world-class IT services company that serves thousands of clients across the globe. They are seeking an AI/ML Engineer to design and develop production-grade AI and machine learning models for real-world applications, lead model lifecycle management, and collaborate with cross-functional teams to define AI-driven features and services. 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, GCP) 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. Qualifications: Required: • 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: • Experience in Retail. Company: Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce. Founded in 1995, the company is headquartered in Richmond, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.