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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead end-to-end GenAI project lifecycle, including planning, execution, delivery, and monitoring of PoCs, prototypes, and production solutions
- Manage diversified technical teams across data science, engineering, and DevOps, fostering collaboration and best practices
- Engage with internal and external stakeholders to define project scope, requirements, and success metrics
- Develop project roadmaps, ensure on-time delivery, and manage risks and dependencies proactively
- Oversee technical implementation, including AI model fine-tuning, deployment, and scaling in cloud environments
- Drive automation and operationalization of GenAI workflows, supporting ongoing model monitoring and maintenance
- Ensure compliance with data privacy, security standards, and ethical guidelines in AI deployment
- Conduct research on emerging GenAI techniques and integrate best practices into ongoing projects
- Advocate for continuous learning and knowledge sharing across teams and leadership
Requirements
What you’ll need- 10+ years in project/program management within technology environments
- Proven expertise in managing complex AI/ML projects, specifically GenAI models like large language models, transformers, embeddings, and Retrieval-Augmented Generation (RAG) techniques
- Experience with DevOps, automation, and infrastructure tools supporting AI deployment (e.g., CI/CD, containerization)
- Familiarity with project management tools such as Jira, Confluence, or equivalent
- Strong understanding of AI/ML enterprise lifecycle, including data privacy, security, and compliance standards
- Ability to interpret and communicate technical details around GenAI model architecture and deployment to both technical and non-technical stakeholders
- Bachelor's or Master’s degree in Computer Science, Data Science, AI, or related fields
Benefits
Comp & perks- Flexible workplace arrangements
- Mentoring programs
- Learning and development programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
project managementAI model fine-tuningGenAIlarge language modelstransformersembeddingsRetrieval-Augmented Generation (RAG)automationinfrastructureDevOps
Soft Skills
collaborationcommunicationrisk managementstakeholder engagementcontinuous learningknowledge sharingleadershipproactive managementproblem-solvingadaptability
Certifications
Bachelor's degree in Computer ScienceMaster’s degree in Computer ScienceBachelor's degree in Data ScienceMaster’s degree in Data ScienceBachelor's degree in AIMaster’s degree in AI
