
Senior AI Data Scientist
2 weeks ago
This role involves the development, deployment, and maintenance of Machine Learning models. Key responsibilities include designing and implementing data pipelines using Python and various ML frameworks.
Required skills and qualifications:
- Proficiency in Python programming language with at least 5 years of experience.
- Experience with AWS SageMaker for deploying ML pipelines and models with a minimum of 4 years.
- Knowledge of API development using FastAPI, Flask, or Django with at least 3 years of experience.
- Understanding of ML frameworks such as Scikit-learn, PyTorch, XGBoost, LightGBM, and MLflow.
Key Technologies:
- Python
- AWS SageMaker
- FastAPI/Flask/Django
- Scikit-learn/PyTorch/XGBoost/LightGBM/MLflow
Benefits:
- Opportunity to work on cutting-edge projects.
- Professional growth and development opportunities.
- Collaborative and dynamic work environment.
Others:
- Strong understanding of software engineering principles.
- Experience with CI/CD pipelines using Bitbucket, Jenkins, Nexus, and AutoSys is a plus.
- Familiarity with containerization using Docker and orchestration using Kubernetes is also a plus.
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