AI Engineer

Job Title                       -                   AI Engineer – Logistics & Operations Optimization

Job Location               -                    Remote-25% Travel

Job Duration               -                   6+ months 

Description:

About the Role

We are seeking a highly technical and results-driven AI Engineer to help drive operational efficiency, optimize complex logistics workflows, and reduce costs across the organization. In this role, you will leverage Artificial Intelligence, Machine Learning, and predictive analytics to transform operational challenges into scalable, production-ready solutions. The ideal candidate combines strong data engineering and machine learning expertise with a deep understanding of logistics, supply chain, warehousing, and field operations, with Python serving as the primary development language. 

Responsibilities

End-to-End AI/ML Development

• Design, build, train, validate, deploy, and monitor production-ready machine learning models.

• Ensure model performance, reliability, and accuracy in live operational environments.

AI Agents & Workflow Automation

• Design and deploy AI agents that automate complex, multi-step operational workflows and decision-making processes.

• Build and scale agentic workflows and Retrieval-Augmented Generation (RAG) solutions.
Operational Automation & Optimization

• Automate repetitive operational workflows, reporting processes, and decision-support systems.
• Deliver measurable improvements in efficiency, productivity, and cost reduction.

Data Engineering & Pipeline Development

• Build robust ETL and data pipelines to ingest, clean, transform, and process structured and unstructured datasets.

• Work with operational data sources, including inventory, routing, labor, and service events.
Systems Integration

• Integrate AI tools and predictive models with warehouse, logistics, and operational software systems.

• Rapidly prototype solutions that generate immediate business impact.

Cross-Functional Collaboration

• Partner with Operations, Finance, Facilities, Procurement, and IT teams to identify business challenges and develop AI-driven solutions.

• Create decision-support dashboards and communicate technical insights to stakeholders.

AI Governance & Safety

• Ensure responsible AI deployment through rigorous model validation, documentation, risk mitigation, bias reduction, data governance, and security practices.

• Build fail-safes into automated decision-making systems.

Target Operational AI Use Cases Logistics & Routing

• Route and delivery optimization

• Predictive maintenance for vehicles and equipment Workforce & Labor

• Labor scheduling optimization

• Capacity planning

• Workload balancing across warehouses Supply Chain & Inventory

• Inventory discrepancy detection

• Automated inventory reconciliation

• Demand forecasting

• Supply requirement prediction Facilities & Operations

• Facility expense management

• Operational anomaly detection

• Cost optimization modeling

• Computer vision for document, barcode, and label recognition

Required

Technical Skills Programming & Databases

• Strong proficiency in Python (primary development language)

• Advanced SQL skills with PostgreSQL, SQL Server, or MySQL

• Experience with Git version control

AI Agent Platforms & Orchestration

• Hands-on experience with agentic workflows and RAG solutions using tools such as:

• Gemini Enterprise

• n8n

• LangChain

Python Libraries & Frameworks

Data Processing

• Pandas

• NumPy

Machine Learning

• Scikit-learn

• XGBoost

Data Visualization

• Matplotlib

• Plotly

• Seaborn

Automation & APIs

• FastAPI

• Flask

Preferred Technologies

• TensorFlow or PyTorch

• OpenCV

• OR-Tools

Data Engineering & Integration

• Experience working with APIs, REST services, JSON, and CSV data

• Ability to manage large-scale operational datasets and ensure data quality and reliability

• Experience with cloud platforms such as AWS, Azure, or Google Cloud (preferred)

• Familiarity with message queues and event-streaming architectures (preferred)

 Qualifications

• Bachelor''''s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field

• 5+ years of hands-on experience in AI/ML engineering, data science, or advanced analytics

• Experience within logistics, transportation, supply chain, warehousing, or field operations is strongly preferred

 Core Competencies

Strategic Problem Solver

Ability to identify operational inefficiencies and design AI-driven solutions that deliver measurable business value.

Strong Communicator

Capable of translating complex technical concepts and model outputs into clear business insights for stakeholders.

Hands-On Builder

Passionate about rapid prototyping, practical implementation, and delivering impactful solutions rather than purely theoretical research.