Founding AI Engineer

1 week ago

Pune, Maharashtra, India Olive Green Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year


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

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