JV
ML Engineer
Jobs via Dice
Richardson · On-site Full-time Senior Yesterday
About the role
Job Details
- Job Role: ML Engineer
- Location: Richardson, TX
- Type: Full Time
About
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nityo Infotech Corporation, is seeking the following. Apply via Dice today!
Responsibilities
- Design scalable ML pipelines.
- Optimize computer vision models for edge devices.
- Operationalize AI solutions in production environments using MLOps framework for model management.
- Work with clients to understand the issues they face, diagnose problems, design solutions, and facilitate solution deployment on Google Cloud Platform cloud.
Required Qualifications
- Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience in Information Technology.
- Strong hands‑on experience with MLOps, model deployment, CI/CD, and monitoring.
- Proficiency in Computer Vision frameworks: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc.
- Experience deploying AI models on edge devices, DeepStream, Nvidia Services.
- Advanced Python development skills with experience in designing scalable ML systems, automations, SDK, multiprocessing, etc.
- Hands‑on with containerization, model optimization, and hardware acceleration.
- Solid understanding of data pipelines, feature stores, and ML model lifecycle.
- Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others.
Requirements
- Strong hands-on experience with MLOps, model deployment, CI/CD, and monitoring
- Proficiency in Computer Vision frameworks: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
- Experience deploying AI models on edge devices, Deepstream, Nvidia Services
- Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
- Hands-on with containerization, model optimization, and hardware acceleration
- Solid understanding of data pipelines, feature stores, and ML model lifecycle
- Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others
Responsibilities
- Designing scalable ML pipelines
- Optimizing CV models for edge devices
- Operationalizing AI solutions in production environments using MLOps framework for Model Management
- Working with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Google Cloud Platform cloud
Skills
CI/CDComputer VisionDeepstreamGrafanaGoogle Cloud PlatformNvidia ServicesONNXOpenCVPoetryPrometheusPyTorchPythonSnykTensorFlowYOLO
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