Senior AI/ML Engineer - Lead Production ML Pipelines

Hoplon InfoSec, LLC; Oak Brook (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hoplon InfoSec, LLC is seeking a Senior AI/ML Engineer in Oak Brook, IL to design, build, and deploy production-grade ML models and AI systems. You will lead end-to-end ML pipelines from data exploration to scalable deployment and monitoring.

The role requires 5+ years of hands-on experience with Python and ML frameworks, cloud and MLOps, and the ability to mentor engineers while shaping the AI roadmap.

Qualifications

• 5+ years of professional experience in software engineering and production-level machine learning/AI.
• Fluency in Python and strong expertise with modern ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong fundamentals in object-oriented/functional programming, system design, data structures, and writing clean, testable code.
• Demonstrated experience with cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow, or MLflow).
• Track record of serving models at scale using frameworks like Triton, vLLM, FastAPI, or TorchServe.
• B.S. or M.S. in Computer Science, Data Science, Electrical Engineering, or related quantitative field (or equivalent practical experience).

Responsibilities

• Model development and optimization: design, train, evaluate, and fine-tune machine learning and deep learning models.
• Production MLOps: build, deploy, and maintain scalable ML pipelines, REST/gRPC APIs, and automated model monitoring tools using CI/CD best practices.
• Architecture and scalability: optimize model latency, memory footprint, and throughput for high-concurrency environments (quantization, caching, distributed inference).
• Data engineering collaboration: partner with data teams to design feature stores, optimize data pipelines, and ensure high-quality training/testing datasets.
• Generative AI integration: integrate and fine-tune large language models (LLMs), RAG architectures, or multimodal models into our core application stack.
• Mentorship and strategy: mentor mid-level engineers, drive engineering standards, and help shape the long-term AI roadmap.

Skills

Python

PyTorch

TensorFlow

JAX

Cloud platforms

Docker

Kubernetes

Education

B.S. or M.S. in Computer Science/Data Science/Electrical Engineering

Tools

Airflow

Kubeflow

MLflow

Triton

TorchServe

FastAPI

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 experiencedesigning, 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.

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).
• DataEngineering 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:[e-mail]

Note: Please send your cv/resume to the emailaddress given: [e-mail]