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AI/LLM DELIVERY PROJECT MANAGER (Biogeography Astrobiology)

AI/LLM DELIVERY PROJECT MANAGER (Biogeography Astrobiology)

Careerblock
Fresher
  • Posted 17 hours ago
  • Be among the first 10 applicants

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

  • 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

Key Skills

LangChain

Technical requirement documentation

Stakeholder alignment frameworks

Hugging Face

Project management dashboards

LLM deployment pipelines

Python-based AI ML tools

Model performance tracking

About Company