Senior MLOps Engineer

Job Description

Job Description

Genesis10 is currently seeking a Senior MLOps Engineer for Direct Hire position with a Financial Services Corporation located in Plano, TX. Our client is mainly an onsite culture with an allotted amount of work from home days. 

Only candidates available and ready to work directly as our client's employee will be considered for this position. Must not require sponsorship now or in the future. No Third Parties.

As a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation.

Responsibilities:

• Design, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment
• Build and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure
• Operationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality
• Collaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems
• Develop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications
• Deploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements
• Provision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations
• Implement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness
• Establish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting
• Monitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency
• Partner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards

Requirements:

• 10 years of experience building data-driven software solutions, including 5 years of hands-on machine learning engineering experience
• 8 years of Python development experience, including building and maintaining production services, APIs, or data pipelines
• Demonstrated experience deploying and operating machine learning or generative AI solutions in production
• Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles
• Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems
• Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads
• Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications
• Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience

Desired skills:

• Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving tools
• Experience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS

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 contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years.
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident)
• Voluntary Term Life Insurance
• 401K
• Sick Pay (for applicable states/municipalities)
• Commuter Benefits (Dallas, NYC, SF, and Illinois)

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.