Live opening · Posted 10 days ago

AI/LLM DELIVERY PROJECT MANAGER (ZOOLOGY/ BOTANY/MICROBIOLOGY)

Beyond Border Consultants · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyBeyond Border Consultants
LocationIndia (Remote)
Salary2M INR/yr - 3.5M 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-growing AI consultancy serving global life sciences and agritech clients, we deploy custom LLM and generative AI solutions to accelerate research in zoology, botany, and microbiology. Our remote teams build domain-specific prompt engineering frameworks, fine-tune foundation models on biological datasets, and deliver deployable AI modules for academic, pharma, and conservation use-cases — all while maintaining rigorous scientific accuracy and ethical guardrails.
Role & Responsibilities
Lead end-to-end delivery of LLM/AI projects for life sciences clients — from scoping and data ingestion to deployment and user training.
Translate zoology/botany/microbiology research requirements into technical task breakdowns, timelines, and KPIs for cross-functional AI engineering teams.
Bridge domain experts (biologists, taxonomists, lab scientists) with NLP/AI engineers to ensure model outputs align with scientific rigor and field-specific terminology.
Manage prompt engineering workflows, RAG architecture design, and fine-tuning pipelines using domain-specific datasets (e.g., species databases, microbial genome annotations, plant morphology repositories).
Track model performance against scientific validation benchmarks, and drive continuous iteration based on expert feedback loops.
Own stakeholder communication — prepare demos, documentation, and impact reports for non-technical clients and scientific review boards.
Skills & Qualifications
Must-Have
Project Management (Agile/Scrum)
LLM Deployment
Prompt Engineering
Domain Knowledge (Zoology OR Botany OR Microbiology)
AI Product Delivery
Stakeholder Management
Technical Documentation
Vector Databases (e.g., FAISS, Pinecone)
Preferred
Experience with RAG Systems
Knowledge of Hugging Face Transformers
Basic familiarity with Python or Jupyter notebooks
Benefits & Culture Highlights
100% remote with flexible hours — build your own rhythm
Work directly with scientists shaping conservation, agritech, and drug discovery
Access to cutting-edge AI tools and training stipends for domain upskilling
Skills: botany,conservation,databases,ai,delivery manager,microbiology,life sciences,documentation,prompt,zoology

Work arrangement
No

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