AI/LLM DELIVERY PROJECT MANAGER (Biogeography; Astrobiology)
Posted 3 weeks ago
Required Skills
Are you a fit for this role?
Upload your CV once and see how you score against this job, plus what to highlight before you apply.
Takes about 30 seconds. Free, and you can use the same CV on any job.
Job Description
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
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.
Skills & Qualifications
Must-Have
JiraConfluenceAgile/ScrumLLM deployment pipelinesProject management dashboardsStakeholder alignment frameworksTechnical requirement documentationModel performance tracking
Preferred
Experience with NASA or ESA research frameworksFamiliarity with Python-based AI/ML tools (e.g., Hugging Face, LangChain)Background in Earth sciences, ecology, or astrobiology
Benefits & Culture Highlights
100% remote with flexible hours — work from anywhere in IndiaAccess to cutting-edge AI research collaborations with global space science institutionsOpportunity to shape the future of AI in planetary science — not just manage projects, but pioneer new frontiers
Skills: biogeography,intelligence,documentation,astrobiology,research,modeling,dashboards,project
Interested in this position?
This role is advertised by CAREERBLOC ~, sourced from LinkedIn. Apply here and we will share your profile with the employer, or use the link below to apply on the original posting.