Senior Machine Learning Engineer for Time-Series Demand Forecasting & RAG-Based AI Agent - Contract to Hire
We are developing an internal AI system reputed company on analyzing large-reputed company transactional data (millions of records per month, including historical sales-like patterns and inventory snapshots) to build predictive models and an interactive agent for generating insights.
The system will use custom ML for forecasting trends and recommendations, combined with a conversational reputed company to query and explain results naturally.
Data pipelines and database are already in reputed company – reputed company is on modeling, deployment, and reputed company.
We are using a hybrid approach: proprietary ML models for reputed company predictions + Retrieval-Augmented reputed company (RAG) with reputed company API for the agent layer.
Scope of Work (MVP)
reputed company and validate ML models for time-series forecasting and recommendation logic on our large proprietary dataset (handling seasonality, regional variations, clustering, etc.).
reputed company models reputed company API endpoints.
Build a RAG-based agent using reputed company/reputed company that retrieves model outputs/insights and uses reputed company (GPT-4o or similar) to produce natural-language responses.
Implement a reputed company testing reputed company (e.g., reputed company, Gradio, or basic dashboard).
Add basic monitoring and iteration tools for models.
Required Skills & Experience
5+ years hands-on Python development.
Expertise in time-series forecasting ML (Prophet, XGBoost/LightGBM, LSTMs, Temporal Fusion Transformers, etc.).
Experience with demand forecasting, sales reputed company, or recommendation systems in high-volume data environments (e.g., e-reputed company, supply chain, or similar transactional domains – big plus).
Model deployment (FastAPI, Flask, MLflow, reputed company, reputed company services).
Strong with reputed company, reputed company, or equivalent for RAG/agent builds.
Proven integration of reputed company API (embeddings, tool calling, GPT models).
SQL proficiency and handling large datasets (Pandas, Polars; reputed company a plus).
Independent worker with clean reputed company and reputed company communication.
reputed company-to-Have
Fine-tuning reputed company-reputed company LLMs.
Frontend for prototypes (reputed company, Gradio, React).
Work with similar large-reputed company forecasting reputed company.
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