AI/ML Engineer

Overview

Design and deploy intelligent systems across the entire Orevida portfolio. From recommendation engines on the members platform to automated deal analysis for the investment team, content intelligence pipelines for the media arm, and predictive analytics for portfolio companies. Your work will touch every sector.

We are building an ecosystem where AI is not a feature but the operating system. Every company in the portfolio will benefit from shared intelligence infrastructure. You will be the architect of that infrastructure.

This role sits at the intersection of research and production. We do not need papers. We need shipping engineers who understand transformer architectures, can fine‑tune models, and can deploy them behind APIs that non‑technical teams rely on daily.

Compensation

Competitive salary + ORE allocation (profit participation) + Full Orevida membership + Annual team retreats.

What You Will Do

Responsibilities

• Build and deploy ML models and LLM‑powered features across ecosystem products.
• Design the AI infrastructure layer shared by all portfolio companies.
• Develop content intelligence systems (scoring, recommendation, trend detection) for Orevida Media.
• Build automated deal analysis and financial modeling tools for the investment team.
• Create data pipelines that aggregate insights across sectors.
• Collaborate with product teams to identify high‑impact AI use cases.
• Monitor model performance, implement feedback loops, and iterate on accuracy.

Requirements

• 4+ years of professional ML/AI engineering experience.
• Production experience with LLMs (GPT, Claude, open‑source models), RAG architectures, and embedding‑based systems.
• Strong Python skills with experience in PyTorch, TensorFlow, or JAX.
• Proficiency in building and deploying ML APIs (FastAPI, Flask, or equivalent).
• Experience with vector databases (Pinecone, Weaviate, pgvector).
• Solid understanding of MLOps: model versioning, A/B testing, monitoring.
• Ability to communicate technical concepts to non‑technical stakeholders.

Nice to Have

• Experience building multi‑agent systems or autonomous workflows.
• Background in NLP, computer vision, or recommendation systems.
• Familiarity with financial data analysis and predictive modeling.
• Experience with fine‑tuning and deploying open‑source models at scale.

Cross‑Sector Impact

You will not just work on one product. At Orevida, your work impacts ventures across every sector simultaneously. Every system you build, every process you improve, every creative you produce compounds across the entire ecosystem.

ORE Compensation

Performance bonuses in ORE profit‑participation units tied to ecosystem growth.

Full Membership

Complete access to the Orevida members platform, network, and events.

Move between sectors as you grow. Your career has no ceiling. It has an ecosystem.

#J-18808-Ljbffr