Your Role and ResponsibilitiesYour Role and Responsibilities
- Architectural Leadership: Work collaboratively within a team responsible for shaping the architecture and technical trajectory of our AI portfolio.
- Domain Expertise: Possess a deep understanding of AI technologies and innovations including IBM’s offerings and the competitive landscape.
- Collaboration and Adaptability: Collaborate seamlessly with diverse teams and contribute to other IBM product initiatives. A crucial aspect is the ability to extend expertise beyond your domain to promote a holistic understanding of interconnected domains.
- Effective Communication: Utilize strong communication skills to articulate complex technical concepts, fostering collaboration and understanding across interdisciplinary teams.
- Technical Solution Workshops: Conducting and participating in technical solution workshops.
Required Technical and Professional Expertise
- Deep expertise in AI/ML model development and/or deployment of AI/ML workloads including experience in LLMs, Vector DBs, model tuning, LLM benchmarking
- Experience with building creditability for Data and AI methodology and practices for data management, data fabric, data governance, trustworthy AI and business analytics or equivalent enterprise solutions.
- Proficient in Python programming, NLP techniques, and AI Frameworks (e.g., Hugging Face).
Preferred Technical and Professional Expertise
- Architecting and deploying scalable AI solutions that integrate seamlessly with existing business and IT infrastructure
- Experience designing & developing automated pipelines for data extraction, ML model training, ML model production deployments and production monitoring
- Awareness of ethical considerations in data science and AI to ensure responsible data usage.