AI/LLM DELIVERY PROJECT MANAGER (Biogeography Astrobiology)
Careerblock · Not specified · onsite · Posted 32d ago
Not disclosedFresherfulltimeSourced from
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About this role
About The Opportunity
A fast-moving innovation hub at the intersection of artificial intelligence, planetary science, and biogeographic modeling, we build and deploy large language models (LLMs) to solve complex, mission-critical problems in astrobiology and Earth systems science. Our projects integrate AI-driven spatial analysis, ecological forecasting, and extraterrestrial life probability modeling — turning speculative science into actionable, scalable intelligence for government, research, and commercial space ventures. Role & Responsibilities
Must-Have
A fast-moving innovation hub at the intersection of artificial intelligence, planetary science, and biogeographic modeling, we build and deploy large language models (LLMs) to solve complex, mission-critical problems in astrobiology and Earth systems science. Our projects integrate AI-driven spatial analysis, ecological forecasting, and extraterrestrial life probability modeling — turning speculative science into actionable, scalable intelligence for government, research, and commercial space ventures. Role & Responsibilities
- Lead end-to-end LLM delivery cycles for biogeography and astrobiology use cases — from requirement alignment to deployment, ensuring technical feasibility and scientific accuracy.
- Bridge AI engineers, planetary scientists, and domain experts to translate complex research questions into structured LLM training workflows and evaluation metrics.
- Manage agile sprints, stakeholder roadmaps, and cross-functional team coordination across remote global teams with zero latency in execution.
- Own model validation frameworks — integrating domain-specific benchmarks (e.g., biosignature detection accuracy, biogeographic niche modeling precision) into CI/CD pipelines.
- Develop and maintain project documentation, risk registers, and delivery dashboards tailored for both technical and non-technical stakeholders.
- Advocate for ethical AI governance, bias mitigation, and responsible deployment in scientifically sensitive domains like astrobiology and planetary habitability modeling.
Must-Have
- Jira
- Confluence
- Agile/Scrum
- LLM deployment pipelines
- Project management dashboards
- Stakeholder alignment frameworks
- Technical requirement documentation
- Model performance tracking
- Experience with NASA or ESA research frameworks
- Familiarity with Python-based AI/ML tools (e.g., Hugging Face, LangChain)
- Background in Earth sciences, ecology, or astrobiology
- 100% remote with flexible hours — work from anywhere in India
- Access to cutting-edge AI research collaborations with global space science institutions
- Opportunity to shape the future of AI in planetary science — not just manage projects, but pioneer new frontiers
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Skills
LLM deployment pipelinesProject management dashboardsPython-based AI ML toolsStakeholder alignment frameworksAgile ScrumConfluenceHugging Face TransformersJira AtlassianTechnical requirement documentationModel performance trackingLangchain