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Scalable Data Strategist
2 weeks ago
This esteemed position entails spearheading data-driven strategic decisions. We seek an accomplished Senior Data Scientist to capitalize on the full potential of big data insights.
Key Responsibilities:Understand Business Needs & Value Creation
- Collaborate with stakeholders to pinpoint business challenges where AI/ML can drive quantifiable improvements.
- Define key performance indicators and ensure alignment with business objectives.
Develop Quick Proof-of-Concepts
- Rapidly build and validate ML prototypes to demonstrate feasibility and value.
- Iterate based on feedback, refining models and methodologies for production readiness.
Build and Deploy Scalable ML Solutions
- Design, develop, and deploy end-to-end AI/ML models on a cloud-based platform to solve complex commercial challenges.
- Owning the entire ML lifecycle, including data preprocessing, feature engineering, model selection, hyperparameter tuning, model validation, deployment, and monitoring.
- Optimize feature extraction techniques, implement robust model evaluation strategies, and ensure effective inference for real-time and batch scoring using a machine learning endpoint.
- Develop efficient and reusable ML workflows and pipelines, ensuring automated feature engineering, model retraining, and performance tracking across multiple projects.
- Implement and enhance MLOps strategies, integrating CI/CD, automated monitoring, drift detection, and model retraining mechanisms to maintain model integrity over time.
- Collaborate with data engineers and software engineers to integrate feature stores, scalable data processing pipelines, and model-serving frameworks into production applications, ensuring seamless deployment and reliability.
Tertiary qualified, this pivotal role is ideal for an experienced Senior Data Scientist who excels in a highly technical environment, thrives in hands-on problem-solving, and is passionate about building and deploying scalable ML & AI solutions.