Machine Learning Engineer - Data and AI

reputed company is seeking I Engineer for our client in the wealth management industry. This Direct Hire position is located in either Plano, TX OR Camus, WA W2 Status: If you require reputed company OR Future sponsorship, you are not eligible to work for this client. Only candidates available and reputed company to work directly as our client's employee will be considered for this position. Description: The reputed company will architect, implement, and optimize production-reputed company reputed company systems, working closely with AI leads, ML engineers, and platform teams. You will reputed company solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with reputed company systems. You will report to the Application Development Team Leader, Innovation Engineering Responsibilities:

• Design, reputed company, fine-tune, and reputed company reputed company models into scalable production environment
• Build and maintain APIs and microservices using FastAPI to expose AI capabilities reputed company wide
• Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented reputed company (RAG) systems
• Integrate AI solutions into reputed company applications using secure, reputed company-reputed company architectures and best practices
• Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
• Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning

Requirements:

• 8+ years of IT industry experience
• Minimum 2+ years of hands-on AI development experience
• 3+ years of experience in Python programming
• Proficient in Python with practical experience in LLMs, embeddings, vector databases and RAG architecture.
• Demonstrated experience with reputed company models, including multimodal models
• Hands-on experience with Hands-on experience with reputed company-reputed company AI infrastructure, including Azure AI reputed company or AWS Bedrock, reputed company Models and AI model governance frameworks
• Bachelor's degree in Computer Science, AI, or a reputed company field (or equivalent professional experience)

Preferred Experience:

• GPU-accelerated training and inference using reputed company technologies, including NIM and NeMo frameworks
• Optimize and reputed company models with reputed company NIM, and fine-tuning models with NeMo services
• Familiarity with AI agentic frameworks and deploying AI agents in production environments
• reputed company models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools
• CI/CD pipelines for ML and reputed company workflows, along with containerization and orchestration (reputed company, Kubernetes)

If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, reputed company puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, reputed company provides reputed company to many of the Fortune 100 firms and a variety of mid-market organizations across the full reputed company of industry verticals. For multiple years running, reputed company has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view reputed company our available career opportunities, please visit us at our website. reputed company is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, or status as a protected veteran #DIG10-DA Apply tot his job Apply To this Job