About this opportunity
Hoplon InfoSec, LLC lists this Senior AI/ML Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
EmployeeStatus: Full-time (40hours per week)
StartingDate: Immediately
About theRole
We are lookingfor a Senior AI/ML Engineer with 5+ years of hands-on experience designing, building, and deploying production-grade machine learning models andAI systems. In this role, you will lead the end-to-end development of MLpipelines, from raw data exploration and model architecture design to scalable,low-latency API deployment and real-time monitoring.
Data Management
KeyResponsibilities
ModelDevelopment & Optimization: Design, train, evaluate, and fine-tune machine learning and deep learningmodels for complex real-world problems
ProductionMLOps: Build, deploy,and maintain scalable ML pipelines, REST/gRPC APIs, and automated modelmonitoring tools using CI/CD best practices.
Architecture& Scalability: Optimize model latency, memory footprint, and throughput for high-concurrencyenvironments (quantization, caching, distributed inference).
Data Engineering Collaboration: Partner with data teams to design feature stores, optimize data pipelines, andensure high-quality training/testing datasets.
GenerativeAI Integration: Integrate and fine-tune large language models (LLMs), RAG architectures, ormultimodal models into our core application stack.
Mentorship& Strategy: Mentormid-level engineers, drive engineering standards, and help shape the long-termAI roadmap.
RequiredQualifications
Experience: 5+ years of professional experience insoftware engineering and production-level machine learning/AI.
CoreLanguages: Fluency inPython and strong expertise with modern ML frameworks (PyTorch, TensorFlow, orJAX).
SoftwareEngineering: Strongfundamentals in object-oriented/functional programming, system design, datastructures, and writing clean, testable code.
MLOps& Cloud: Demonstrated experience with cloud platforms (AWS/GCP/Azure), containerization(Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow, or MLflow).
Deployment: Track record of serving models at scaleusing frameworks like Triton, vLLM, FastAPI, or TorchServe.
Education: B.S. or M.S. in Computer Science, DataScience, Electrical Engineering, or a related quantitative field (or equivalentpractical experience).
Compensation
Compensationsalary: Industry standard
Opportunitiesfor professional development in a collaborative and innovative workenvironment.
Opportunitiesfor career growth and team leadership
Contact
OakBrook, IL 60523, USA
Email:
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.