Machine Learning Engineer – Data and AI

Genesis10 is seeking a Machine Learning 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   Current OR Future sponsorship, you are not eligible to work for this client.  Only candidates available and ready to work directly as our client's employee will be considered for this position.

Description :

The Machine Learning Engineer will design, implement, and optimize production-ready ML models, working closely with data scientists and engineers to deliver innovative AI solutions. You will ensure that models are performant, maintainable, and seamlessly integrated with enterprise systems. You will report to the Vice President, Technology Innovation.

Responsibilities :

• Build and deploy machine learning models into production environments
• Optimize model training and inference pipelines for performance and scalability
• Collaborate with data engineers to design robust feature pipelines
• Leverage APIs and microservices for integrating AI models into enterprise applications
• Ensure models are explainable, reliable, and compliant with regulatory requirements
• Work with cloud-native ML services (Azure ML, Kubernetes, Docker)
• Research and implement state-of-the-art ML methods for business applications
• Apply NVIDIA NIMs for model optimization and scaling, and use NeMo services for model development and fine-tuning

Requirements :

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, Genesis10 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, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.