
Data Scientist
2 days ago
Unlock the Power of Data with a Career in MLOPS
About the Role:We are seeking a skilled MLOPS Data Scientist to join our team and help drive business success through data-driven insights.
Key Responsibilities:- Design, develop, and deploy predictive and analytical models using machine learning techniques to drive business growth.
- Collaborate with cross-functional teams to define data requirements and success metrics that meet business needs.
- Implement CI/CD practices for machine learning workflows to ensure efficient model deployment.
- Proficient in Python programming language (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) to develop and implement machine learning models.
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML) to streamline model deployment and management.
- Strong understanding of data engineering concepts (ETL, data pipelines, APIs) to design and implement data infrastructure.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes) to manage model dependencies and deployment.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment to ensure scalability and reliability.
- Opportunity to work with cutting-edge technology and stay up-to-date with industry trends.
- Collaborative and dynamic work environment that encourages innovation and growth.
- Competitive compensation and benefits package to support your career goals.
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related field.
- Strong problem-solving, analytical, and communication skills to effectively collaborate with stakeholders.
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