
Cloud-Based Data Engineer
3 days ago
We believe in empowering our clients to achieve their goals through innovative AI solutions. Our team of experts collaborates closely with clients to understand their needs and develop tailored solutions. By combining cutting-edge technology with industry expertise, we deliver high-quality results that drive real-world impact.
Your Role
As a Machine Learning Engineer at Siili, you will play a crucial role in helping our clients unlock their full potential. You will work alongside our Data Engineers and Data Scientists to build data pipelines, implement machine learning solutions, and deploy them using cloud-based or open-source stacks. Your expertise in MLOps will ensure seamless integration with our clients' existing infrastructure.
Key Responsibilities
Your key responsibilities will include:
- Building data pipelines to support machine learning workflows.
- Implementing machine learning solutions using cloud-based or open-source stacks.
- Deploying machine learning systems into production.
- Ensuring seamless integration with clients' existing infrastructure.
Requirements
To succeed in this role, you should possess:
- At least one year of experience working as a cloud developer, data engineer, ML engineer, or data scientist in a product company or as a consultant.
- Strong knowledge of data science and machine learning concepts.
- Good Python skills and familiarity with popular libraries like Scikit-learn, TensorFlow, Keras, PyTorch, and Pandas.
- Experience with cloud-based development (AWS, Google Cloud, or Azure).
- SQL skills.
- Knowledge of development tools like Git, Docker, and VS Code.
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