Machine Learning Operations Specialist
7 days ago
DVT is a global custom software development and data engineering company with a vision to be South Africa's favourite custom software solutions & services company, with a global footprint. We are committed to continuously training our staff and take pride in our culture of learning, from internal speaking and training to sponsoring technical events.
We are seeking highly skilled professionals with a minimum of 5 years of experience in software engineering and a strong focus on MLOps. The ideal candidate will be responsible for creating and maintaining machine learning pipelines, setting up the full MLOps lifecycle, and working in AWS cloud environments.
Key Responsibilities - MLOps:
- Experiment Environments: Design and create robust environments for machine learning experiments.
- ML Pipelines: Develop, deploy, and maintain scalable ML pipelines.
- MLOps Lifecycle: Implement and manage the end-to-end MLOps lifecycle, ensuring seamless integration and deployment of ML models.
- Cloud & Multicloud: Work extensively with cloud platforms and multicloud environments to optimize ML operations.
Technical Skills:
- Cloud Platforms: Proficiency with SageMaker, Azure ML Studio.
- MLOps Tools: Experience with MLFlow, Prometheus, Grafana.
- Containerization & Orchestration: Strong skills in Docker and Kubernetes.
- Programming: Advanced knowledge of Python.
- Frameworks: Experience with Ray, FastAPI, and Flask.
- ML Algorithms: Familiarity with machine learning algorithms and frameworks such as TensorFlow or PyTorch is a plus.
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