
MLOps Data Science Expert
1 week ago
Job Title: MLOps Data Science Expert
We are seeking an experienced MLOps Data Science Expert to join our team.
- Predictive and Analytical Modeling:
- Develop, train, and validate predictive models using machine learning techniques.
- Collaborate with data engineers to define data requirements and success metrics.
- Model Deployment:
- Deploy machine learning models into production using ML Ops best practices.
- Data Engineering Concepts:
- Design and implement scalable data pipelines for model training and deployment.
- Containerization and Orchestration:
- Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
- Cloud Platforms:
- Familiarity with cloud platforms (AWS, GCP, or Azure) for ML model deployment.
- Python Proficiency: Strong proficiency in Python programming language (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
- ML Ops Tools/Frameworks: Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML)
- Statistics and Machine Learning Algorithms: Strong background in statistics, machine learning algorithms, and model evaluation techniques
- Version Control and CI/CD: Familiarity with version control systems (Git) and CI/CD pipelines
Working on challenging projects that drive business growth
Opportunities for professional development and growth
A collaborative and dynamic work environment
How to Apply:If you are a motivated and experienced MLOps Data Science Expert looking for a new challenge, please submit your resume and cover letter for consideration.
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