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Globallogic is seeking an AI ML Engineer in India to build and deploy AI Fabric, Pricing +3 Engine and a Serving API with Claude-backed support. The project plan covers AI Fabric scaffolding in month 1, tiered matching in month 2, and a pricing engine plus BI and UI testing in month 3. Expect hedonic pricing and confidence scoring through the M3 gate.
The role emphasizes ownership, agile pace, and hands-on MLOps with model evaluation pipelines and scalable feature engineering.
AI ML Engineer
RESPONSIBILITIES
Build the AI Fabric mastering engine, Pricing +3 Engine, and Serving API; primary Claude-assisted developers.
Month 1: AI Fabric scaffolding.
Month 2: Tier 1/2/3 matching with Splink.
Month 3: Pricing +3 Engine (XGBoost), plus BI, Control Plane UI and testing.
Land deterministic + XGBoost hedonic pricing with rarity & trust scores and confidence levels by the M3 gate.
SKILLS PROFILE
Must-have
XGBoost & LightGBM
Hedonic pricing models
Agentic AI & prompt engineering
Python ML engineering
Serving-API development
Nice-to-have
Splink / probabilistic matching
Feature engineering at scale in Snowflake
Amazon Bedrock foundation-model integration
MLOps / model evaluation pipelines
Learnable on the job
Credibility / confidence-gate designrarity & population-density signals
Black-Scholes-style volatility pricing (Phase 2)
What we need from you: relentless ownership, agile pace,
RESPONSIBILITIES
Build the AI Fabric mastering engine, Pricing +3 Engine, and Serving API; primary Claude-assisted developers.
Month 1: AI Fabric scaffolding.
Month 2: Tier 1/2/3 matching with Splink.
Month 3: Pricing +3 Engine (XGBoost), plus BI, Control Plane UI and testing.
Land deterministic + XGBoost hedonic pricing with rarity & trust scores and confidence levels by the M3 gate.
SKILLS PROFILE
Must-have
XGBoost & LightGBM
Hedonic pricing models
Agentic AI & prompt engineering
Python ML engineering
Serving-API development
Nice-to-have
Splink / probabilistic matching
Feature engineering at scale in Snowflake
Amazon Bedrock foundation-model integration
MLOps / model evaluation pipelines
Learnable on the job
Credibility / confidence-gate design
rarity & population-density signals
Black-Scholes-style volatility pricing (Phase 2)
What we need from you: relentless ownership, agile pace,