Job Title: Sr/Lead AI ML Engineer
Employment Type: Full Time
Position Location: Hyderabad
Qualifications: BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field
Total Experience: 8+ years

Key responsibilities
- The matcher runs in tiers. Deterministic rules go first, then string-distance and machine-learning matching, and then model-assisted classification for whatever those leave unresolved. Coverage and precision are reported tier by tier as well as in aggregate.
- The confidence score and the thresholds that decide what a person sees are part of the design. The review queue exists because a wrong match becomes a wrong price recommendation, and a client will challenge that in a meeting.
- The analyst-correction feedback loop turns overrides into signal, and it is instrumented so that quality and drift stay visible over time.
- The matching rules the analysts currently hold in their heads are written down and encoded. These include the items excluded from benchmarking,



the long tail of low-volume items that is priced broadly instead of matched item by item, and the operator price-validation check.
- Point-of-sale and supplier data are queried and shaped in Compass Snowflake. Ingestion is owned by Compass and the source layer is read-only to the application, so the work sits on the read side of the pipeline.
- Mapping rules, analyst overrides and market basket versions persist in the operational store, which is proposed as Aurora Serverless v2 on PostgreSQL and awaits Compass confirmation.
- If a model is used, it is integrated through Amazon Bedrock inside the Compass account, under the AI controls Compass has set. Those controls are commitments, and they are not optional.
- The pricing-team subject-matter experts stay involved through the build. They are the arbiters of whether a match is right, and the design keeps a person in that position deliberately.

Required experience
- Advanced Python , together with the data and machine-learnin

📌 Sr/Lead AI/ML Engineer-Hyderabad (India)
🏢 RDSolutions India
📍 India