Job Description

Confidential Opportunity — End Client Disclosed Upon Interview Selection

Bay Area, remote / hybrid possible

Good compensation, equity and remote work

Have you ever wanted to be a lead in an elite, engineering-led consultancy focused on Data, Machine Learning, Robotics, and intelligent AI applications? Are you passionate about solving the toughest problems in supply chain, energy, and critical infrastructure — across the Middle East, Africa, and the U.S. — while working remotely with high-impact flexibility, attractive compensation, and equity?

We are a boutique consultancy built by PhD engineers, former Fortune 500 AI leaders, government advisors, and top-tier researchers - from likes of ABB, Meta, Harvard Paulson lab and MIT. Our mission: tackle the most challenging AI problems in global supply chains — the systems that keep the world running — with the sharpest minds in the field.

For too long, world-class engineering talent has focused on consumer tech, while the industrial backbone of the world has lagged behind. We're here to change that.

We're looking for builders — those who can break down complex challenges, push novel AI solutions from idea to deployment, and rethink what’s possible.

The Role

You’ll lead AI-driven transformations in global supply chain, logistics, and manufacturing — deploying cutting-edge architectures across demand forecasting, inventory optimization, logistics automation, and supply chain resilience.

You will design and implement solutions using Reinforcement Learning, Generative AI, Graph Neural Networks, and advanced predictive analytics to drive end-to-end impact at scale.

Ideal Candidate

Academic & Executive Track Record

• MSc or PhD in Computer Science, Mathematics, or related field from a top-tier institution
• 10+ years in leadership roles (e.g., Director, VP Data Science) within supply chain, logistics, or manufacturing
• Proven success in driving enterprise-wide AI adoption and securing C-suite buy-in (ideally in F1000 or large-scale industrial settings)

AI/ML Expertise

• Deep Learning: Transformers, LSTMs, GNNs for demand planning, route optimization, and anomaly detection
• Reinforcement Learning: Multi-agent RL, PPO, Deep Q-Learning for warehouse robotics, fleet management, and real-time pricing
• Causal Inference & Bayesian Modeling: Risk prediction, intervention modeling, scenario planning
• Generative Models: GANs, VAEs, Diffusion Models for synthetic data generation and inventory simulations
• Computer Vision & Robotics: YOLO, Mask R-CNN, 3D vision, LiDAR for defect detection, autonomous warehousing, and quality control

Infrastructure & Deployment

• Scalable Data Pipelines: Apache Spark, Delta Lake, Ray, Dask
• Edge & IoT: TensorRT, TinyML, ONNX for predictive maintenance and real-time tracking
• Federated Learning & Blockchain for secure, decentralized collaboration and smart contracts
• Explainability & Governance: XAI, model interpretability, and compliance frameworks

Strategic & Industry Insight

• Previous experience in top-tier consulting or advisory roles, driving AI-first transformations across supply chains
• Strong grasp of sustainability, CO₂ optimization, and regulatory frameworks in industrial environments
• Global supply chain domain knowledge with a strong network in manufacturing, logistics, and procurement

Other

• Willingness to travel for high-impact engagements, strategy sessions, and client presentations

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