Founding AI Engineer

2 weeks ago


Pune, India Olive Green Consulting Full time

Founding AI Architect – Frontier Logistics AI ModelLocation: Pune, India (On-site)Type: Full-Time | Founding Team PositionExperience & 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 practicesAbout the RoleWe’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



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