AI/ML Integration (Forecasting, Scheduling, Optimization)
Title: AI/ML Developer Needed for MVP Integration (Forecasting, Scheduling, Predictions, Inventory Optimization)
Budget: ₹180000
Duration: 2-4 weeks
Location: Remote (India preferred)
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Project Overview
We have a fully functional backend system and one year of historical data. We are looking for a skilled AI/ML developer to integrate a lean AI/ML layer into our existing platform. The goal is to enable:
• Demand forecasting
• Scheduling recommendations
• Delay/dealer performance predictions
• Load balancing guidance
• Inventory optimization
Note: This is an MVP integration. Advanced enterprise-scale optimization is NOT required. We prioritize practical, deployable AI over complex deep learning solutions.
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Scope of Work
1. Forecasting
• Predict daily/weekly demand from historical data
• Time-series forecasting using ML libraries
2. Dealer/Delay Prediction
• Predict potential delays or performance issues
• Use classification/regression models
3. Scheduling
• Suggest task schedules or resource allocation
• Can use heuristic or rule-based logic
4. Load Balancing
• Provide recommendations for distributing tasks/resources
• Logic-based or heuristic approach is acceptable
5. Inventory Optimization
• Suggest stock levels based on forecast and business rules
• Simple optimization logic acceptable
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Technical Requirements
• Strong experience with:
• Python programming language
• scikit-learn
• pandas
• FastAPI
• Facebook Prophet (or similar)
• Ability to work with structured datasets
• Deployable API endpoints for integration with existing backend
• Clean, maintainable, and documented code
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Deliverables
• AI/ML models for each module (MVP-level)
• API endpoints integrated with backend
• Documentation for use and further development
• Guidance on improving accuracy over time
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Ideal Candidate
• 2–5 years experience in AI/ML
• Prior experience in forecasting, prediction, or supply chain optimization
• Can deliver an MVP within tight budget and timeline
• Strong problem-solving and communication skills
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To Apply
Please include:
• Past projects relevant to forecasting, prediction, or inventory/logistics
• Approach to implementing all modules
• Timeline and cost estimate within the budget
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Important Notes
• This is an MVP integration, not a full-scale enterprise solution
• Prebuilt models and libraries are acceptable
• Focus on practical, deployable solutions
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