Hi,

Greetings!

We are hiring for one for our giant MNCs company and JD mentioned below.

Key Responsibilities

- Use-Case Discovery & Forward Deployment
- Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints,

and rollout plans.
- Run workshops and technical discovery to assess feasibility, data readiness,

integration needs, and operational risks.
- Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
- Applied ML Engineering (Classic ML + Deep Learning)
- Develop and improve ML solutions (classification, regression, ranking,

forecasting, anomaly detection, NLP).
- Establish and maintain robust evaluation practices: offline metrics, validation strategies,



experimentation, and A/B testing.
- Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
- GenAI / LLM Engineering (If Applicable)
- Build and productionize RAG (Retrieval-Augmented Generation) pipelines,

including document ingestion, chunking strategy, embeddings, retrieval tuning,

reranking, and response grounding.

- Implement guardrails and reliability patterns: prompt templates, tool/function calling, hallucination reduction, citation strategies, and fallback paths.
- Develop evaluation harnesses for GenAI

📌 Ai Ml Engineer (Bengaluru)
🏢 SDNA Global
📍 Bengaluru