Founding AI Engineer (Logistics Domain)

Olive Green Consulting; Pune District; On-site; INR 300,000 - 540,000; Full time

Job summary

A leading consulting firm in Pune is seeking an Associate Manager in Recruitment Management to design and implement AI architectures and logistics optimization. The ideal candidate will have over 5 years of experience in deploying AI systems and a strong understanding of modern ML techniques. This full-time position offers an exciting opportunity to shape AI innovation in logistics. Interested applicants can apply through [e-mail].

Qualifications

• 5+ years building and deploying AI/ML systems in production.
• Strong exposure to logistics, supply chain, or fleet optimization.
• Strong understanding of modern ML architectures and scalable production systems.
• Forecasting & Optimization Algorithms.
• Scalable Data Pipelines (Spark, Kafka, or similar).
• Advanced Python & Software Engineering best practices.

Responsibilities

• Design and implement AI/ML architectures for forecasting and logistics optimization.
• Build scalable training pipelines and establish MLOps workflows.
• 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.
• Mentor the AI/ML team and drive best practices.

Skills

Deep Learning (PyTorch / TensorFlow)

Forecasting & Optimization Algorithms

Scalable Data Pipelines (Spark, Kafka)

Advanced Python

Education

Background in operations research, applied mathematics, or optimization

Tools

Spark

Kafka

Job description

Direct message the job poster from Olive Green Consulting

Associate Manager | Recruitment Management

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)
• 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.
• 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.

Apply now or share your resume at [e-mail]

Seniority Level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Business Development

Industries

• Business Consulting and Services

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