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Data Driven Innovation Expert
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Job Title: Data Driven Innovation Expert
We are seeking a highly skilled Data Driven Innovation Expert to join our team. As a key member of our team, you will be responsible for designing, implementing, and maintaining the infrastructure and systems that support the deployment, monitoring, and scaling of machine learning models in production environments.
Main Responsibilities:
- Design and develop end-to-end AI workflows, including data pipelines, model training, deployment, and monitoring.
- Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
- Develop and automate systems for continuous integration/continuous deployment (CI/CD) of machine learning models.
- Ensure model performance and reliability in production environments.
- Build and maintain infrastructure for large-scale data storage, model deployment, and real-time analytics.
- Implement monitoring systems to track model performance, detect drift, and ensure data integrity.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- Proven experience in deploying and maintaining machine learning models in production environments.
- Strong experience with ML Ops tools and frameworks (e.g., MLflow, Kubeflow, TFX, Seldon, etc.).
- Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Experience working with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, CircleCI).
- Strong knowledge of data storage technologies (e.g., SQL, NoSQL, cloud storage solutions).
- Experience in model monitoring, performance tuning, and troubleshooting in production environments.
- Understanding of version control systems (e.g., Git) and collaboration in a team environment.
Benefits:
- Opportunity to work on cutting-edge research and real-world AI applications.
- Access to state-of-the-art tools and technologies.
- A dynamic work environment that fosters personal and professional growth.