hirly

Careerbloc

AI/LLM DELIVERY PROJECT MANAGER (Biogeography; Astrobiology)

India

Apply through hirly

Upload your resume and get a version tailored to this job, plus a cover letter, in about thirty seconds — before you create an account.

Apply with hirly

hirly's read of this role

Seniority
Lead / management
Country
IN
Work mode
On-site / unstated
First seen by hirly
26 Sept 2026

Derived automatically from the posting. Sign up to see how the role scores against your own resume.

the posting

  • 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

Original posting on Careerbloc's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job