Founding AI Engineer
2 weeks ago
Founding AI Architect – Frontier Logistics AI Model Location: Pune, India (On-site) Type: Full-Time | Founding Team Position Experience & Mandatory Skillset - Experience: 5+ years building and deploying AI/ML systems in production - Domain Expertise: Strong exposure to logistics, supply chain, or fleet optimization - Core Skills: - Deep Learning (PyTorch / TensorFlow) - Forecasting & Optimization Algorithms - Scalable Data Pipelines (Spark, Kafka, or similar) - MLOps (MLflow, Kubeflow, CI/CD for ML) - Cloud Infrastructure (AWS / GCP / Azure) - Advanced Python & Software Engineering best practices About the Role We're building the next generation of intelligent logistics infrastructure — AI systems that optimize fleets, predict demand, and automate decision-making at scale. As the Founding AI Architect, you'll design and lead the architecture, training pipelines, and deployment of production-grade machine learning models that power real-world logistics operations. Key Responsibilities - Design and implement AI/ML architectures for forecasting and logistics optimization. - Develop production-grade, real-time inference systems for large-scale data. - Build scalable training pipelines and establish MLOps workflows for retraining and monitoring. - Integrate ML models into operational systems and cloud APIs. - Define the AI/ML technical roadmap and make core architecture decisions. - Collaborate with product, engineering, and operations teams to translate business goals into AI-driven outcomes. - Mentor the AI/ML team and drive best practices in experimentation and model governance. Preferred Qualifications - Background in operations research, applied mathematics, or optimization. - Experience with simulation modeling, geospatial data, or network optimization. - Published research or open-source work related to forecasting, logistics, or optimization. - Strong understanding of modern ML architectures and scalable production systems. Why Join Us - Join the founding team shaping AI innovation in logistics. - Build and deploy AI systems that move the physical world. - Solve complex, high-impact problems in a data-rich environment. - Take ownership of end-to-end systems — from concept to production. Interested? Apply now or share your resume at sushmita@olivegreenconsulting.com
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