Machine Learning Engineer - Data and AI

  • Plano, TX
  • Posted 1 day ago | Updated 5 hours ago

Overview

On Site
Full Time

Skills

Wealth Management
Management
Reporting
Innovation
Scalability
Microservices
Cloud Computing
Research
Art
Computer Science
FOCUS
Python
TensorFlow
PyTorch
scikit-learn
Training
Optimization
CUDA
Apache Spark
Databricks
Apache Kafka
Continuous Integration
Continuous Delivery
Workflow
Orchestration
Docker
Kubernetes
Algorithms
Data Structure
Machine Learning (ML)
Systems Design
Microsoft Azure
Artificial Intelligence
Generative Artificial Intelligence (AI)
Collaboration
Spectrum
Recruiting
Leadership

Job Details

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:
Only candidates available and ready to work directly as our client's employee will be considered for this position. Current or future sponsorship in not an available option.

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:
  • Bachelor's degree in Computer Science, Machine Learning, or related field
  • 10+ years experience developing data-related solutions and software
  • 5+ years of experience as an ML Engineer or Software Engineer with ML focus
  • 5+ years of proficient experience with Python, strong experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with distributed training and optimization on GPUs (CUDA, RAPIDS)
  • Familiarity with data pipelines (Spark, Databricks, Kafka)
  • Hands-on experience with CI/CD for ML workflows and container orchestration (Docker, Kubernetes)
  • Strong knowledge of algorithms, data structures, and ML system design
  • Practical experience deploying on Azure AI services, and use NVIDIA NeMo and NIMs for LLM and generative AI workloads
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.

For multiple years running, Genesis10 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 all our available career opportunities, please visit us at our website.

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
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