Founding AI Engineer (Logistics Domain)

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 [HIDDEN TEXT]

Skills Required
Spark, Kafka, Deep Learning, Tensorflow, Gcp, Optimization Algorithms, Pytorch, Cloud Infrastructure, MLops, Azure, Forecasting, Aws