
Data Scientist and Machine Learning Engineer
3 days ago
Key Responsibilities:
- Data & Feature Engineering: Develop and maintain data pipelines and feature engineering processes using a range of tools and techniques.
- Monitoring & Logging: Implement monitoring and logging infrastructure using Prometheus and Grafana to ensure system stability and performance.
- Experiment Tracking & Workflow Orchestration: Utilize MLflow, Kubeflow, and Weights & Biases to track experiments and orchestrate workflows efficiently.
- Machine Learning Frameworks: Leverage TensorFlow, PyTorch, and Scikit-learn to build and deploy machine learning models.
Required Skills:
- Programming Skills: Strong proficiency in programming languages such as Python.
- Machine Learning Knowledge: In-depth understanding of machine learning concepts and algorithms.
- Cloud Computing: Experience with cloud platforms such as AWS or GCP.
This role requires a unique blend of technical expertise and business acumen to drive innovation and efficiency in machine learning operations.
The ideal candidate will have a strong background in computer science, mathematics, and statistics, with a proven track record of delivering complex projects on time and within budget.
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