
MLOps Data Science Engineer
2 days ago
Our company offers a challenging role for an experienced MLOps Data Scientist to join our team. In this position, you will play a key part in developing and implementing machine learning models that help us make data-driven decisions.
">- We are looking for someone with strong skills in Python, including experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow.
- Proficiency in ML Ops tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML is also required.
- A good understanding of data engineering concepts, including ETL, data pipelines, APIs, is necessary.
- You should have hands-on experience with containerization and orchestration using Docker, Kubernetes.
- Familiarity with cloud platforms, such as AWS, GCP, or Azure, for ML model deployment is essential.
In addition to your technical skills, we value strong problem-solving, analytical, and communication skills. If you are interested in working on large-scale data pipelines and real-time model serving, please consider applying for this position.
">Preferred Qualifications:We prefer candidates who hold a Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or a related field.
Experience in feature stores and automated model monitoring is a plus.
If you have exposure to CI/CD pipelines, you will be at an advantage.
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