
AI Deployment Expert
6 days ago
Job Title:
">Data Solutions Specialist
">About the Role:
">- ">
- This pivotal role requires an exceptional blend of AI expertise, data science proficiency, and engineering deployment skills.">
- We are seeking a highly skilled professional to lead workshops with stakeholders, gather requirements, and align product objectives with business goals.">
- The ideal candidate will design and document scalable, high-performance data models using SQL and DBT.">
- You will develop user stories and customer personas to guide data product development.">
- A key aspect of this role is conducting advanced data analysis using AI techniques to support strategic decisions.">
- The successful candidate will estimate project timelines and resources, collaborating with delivery leads for efficient execution.">
- Post-deployment support is essential to ensure data solutions remain effective and responsive.">
- You will oversee data definitions and classifications to ensure compliance with governance standards.">
- Collaboration with the data product team is crucial to maintain data security, integrity, and compliance.">
- Staying current with industry best practices in data engineering and DBT is vital for success in this role.">
About You/Qualifications:
">- ">
- We require a candidate with a strong background in AI, data science, and engineering deployment.">
- Experience as a data scientist in complex data products is essential.">
- Building and activating AI models for decisioning, optimisation, and automation is critical for this role.">
- Familiarity with Vertex AI, PyTorch/TensorFlow, LangChain, LlamaIndex, and orchestration APIs is necessary.">
- MLOps, CI/CD pipelines, and cloud infrastructure (e.g., GCP, Terraform, Kubernetes) experience is highly desirable.">
- The ability to build and integrate AI agents into production environments and business workflows is essential.">
- Advanced proficiency in machine learning, deep learning, natural language processing is required.">
- Strong command of SQL, BigQuery, and DBT for data engineering is essential.">
- Strong analytical skills with the ability to translate data into strategic outcomes are critical.">
- Proven leadership in stakeholder engagement and workshop facilitation is highly desirable.">
- Excellent communication skills for conveying complex data concepts are essential.">
- Adaptability and problem-solving in dynamic environments are vital for success in this role.">
- A Bachelor's degree or higher in Data Science, Computer Science, Engineering, or relevant field experience is required.">
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