DL
AI/ML IOT engineer - SQA
Diverse Lynx India
Location not stated
1 month ago
- Machine Learning
- TensorFlow
- PyTorch
- scikit-learn
- Devops
- Docker
- Kubernetes
- Jenkins
- GitLab CI
- TensorRT
- MLOps
- Natural Language Processing
1 month ago
- Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
- Experience in designing and executing automated test frameworks for ML/DL systems.
- Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, GitLab CI.
- Exposure to ML model optimization for edge devices (e.g., TensorRT, OpenVINO, Edge TPU).
- Knowledge of MLOps practices, including model versioning and deployment workflows.
- Understanding of natural language processing and Tiny LLMs is a plus.
AI/ML IOT engineer - SQA · Diverse Lynx India