Ai Ml Engineer

Hi,

Greetings!

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

Key Responsibilities

1) 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.

2) 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.

3) 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