Director, Data Science & AI - R
Director, Data Science & AI - R
Posted on :
18-05-2025
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1 Vacancy
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Job Description
Director Data Science & AI
Primary Skills
- Problem Formulation (Business problem to Data Science Problem) OKR Validation against statistical measures Data Wrangling Data Storytelling & Insight Generation Problem Solving Excel VBA Data Curiosity Technical Decision Making (How many iterations to go for vs when to stop iterating) Communication & Articulation: Vocal & Written Business Acumen (Consume new domains quickly to learn through data) Design Thinking Data Literacy
Specialization
- Data Science Foundation: Director Data Science & AI
Job requirements
- We are seeking an experienced AI Delivery Lead to drive the endtoend execution of AI and machine learning projects. This role involves leading AI initiatives managing crossfunctional teams across Data AI & Engineering ensuring timely delivery and aligning AI solutions with business objectives while maintaining a strong focus on governance scalability and ROI. The AI Delivery Lead will work closely with internal and external stakeholders to ensure the delivery of projects are smooth. Key Responsibilities: Oversee the endtoend lifecycle of AI solutions from ideation to production deployment. Partner with Brillio markets clients internal data AI and engineering teams to deliver highquality deliverables. Ensure timely and efficient AI model deployment with scalable architectures and best practices. Manage risks dependencies and stakeholder expectations. Drive adoption of Agile and MLOps methodologies for AI development and operations. Oversee AI infrastructure design and cost governance across cloud platforms (AWS GCP Azure Databricks Snowflake). Ensure scalability performance and reliability of AIdriven services. Implement CI/CD pipelines for AI models to automate deployments and updates. Lead mentor and upskill AI teams to build cuttingedge solutions. Communicate AI project value and outcomes to client executive leadership and key stakeholders. Required Skills & Experience: 12 years of experience in AI/ML delivery with at least 3 years in a leadership role. Strong expertise in AI/ML model development deployment and monitoring. Handson experience with MLOps AI governance and cloud AI services (AWS SageMaker Azure ML GCP Vertex AI). Proficiency in Python TensorFlow PyTorch MLflow Kubernetes is a plus. Experience in managing AI projects using Agile DevOps and CI/CD best practices. Excellent leadership stakeholder management and communication skills.
Required Experience:
Director
Employment Type
Full-Time
Key Skills
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