Live opening · Posted 10 days ago

AI/LLM DELIVERY PROJECT MANAGER (Biogeography; Astrobiology)

CAREERBLOC ~ · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyCAREERBLOC ~
LocationIndia (Remote)
Salary2M INR/yr - 3.2M INR/yr
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

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
Jira
Confluence
Agile/Scrum
LLM deployment pipelines
Project management dashboards
Stakeholder alignment frameworks
Technical requirement documentation
Model performance tracking
Preferred
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
Benefits & Culture Highlights
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
Skills: dashboards,research,astrobiology,project,documentation,biogeography,intelligence,modeling

Work arrangement
No

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