MLOps Data Scientist
2 days ago
We are seeking a highly skilled MLOps Engineer to join our team.
The successful candidate will be responsible for developing, training and validating predictive models using machine learning techniques.
They will also collaborate with data engineers and business teams to define data requirements and success metrics.
Additionally, they will deploy machine learning models into production using best practices and build automated pipelines for model training, testing, monitoring and retraining.
The ideal candidate will have expertise in Python (Pandas, NumPy, Scikit-learn) and PyTorch/TensorFlow.
They should also have experience with ML Ops tools (MLflow, Kubeflow, Airflow) and understanding of data engineering concepts (ETL, APIs).
Containerization and orchestration skills (Docker, Kubernetes) are essential as well as knowledge of cloud platforms (AWS, GCP or Azure).
A background in statistics, machine learning algorithms and model evaluation is required.
Strong problem-solving, analytical and communication skills are also necessary.
Required Skills and Qualifications- Bachelor's/Master's degree in Computer Science, Data Science or related field.
- Proficiency in Python programming language.
- Experience handling large-scale data pipelines and real-time model serving.
- Exposure to feature stores and automated model monitoring.
The successful candidate will have the opportunity to work on challenging projects and contribute to the growth of the company.
They will also receive competitive compensation and benefits package.
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