Crescendo Global
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Noida · On-site · 2-5 Yrs · 5 days ago
HR Consulting · 51 to 200 Employees · Gurgaon, India
At Crescendo Global, we're not just building a company—we're shaping a culture. A culture rooted in grit, passion, ambition, and inclusion, where every voice matters and every goal is backed by relentless dedication. We're reimagining what senior-level hiring should feel like—for both job seekers and employers—by making the experience strategic, empowering, and human. Our team is a collective of curious minds and bold thinkers, united by a shared mission: To leave a lasting impact through every connection we create. We don’t just recruit people who are great at what they do—we bring in individuals who love what they do, and who thrive in a workplace that values purpose as much as performance. This passion shines through in everything we do—it’s the energy that drives our success and the loyalty that powers our partnerships. As we proudly celebrate 11 years of excellence in 2025, Crescendo Global stands tall with over 4,100 successful placements, across 10+ functional domains and 20+ industries. Our niche recruitment expertise spans critical areas like Analytics & Technology, Sales & Marketing, Finance & Insurance, Supply Chain & Procurement, Strategy & Change, Industrial Engineering, HR, Legal, and Research. From shaping careers to transforming businesses, We’re here to make recruitment meaningful. Join us. Let’s sculpt the future, one impactful placement at a time. Toll-Free: 1800-103-3016
Hiring: Engineering
What employees say
+ Pathetic work culture ,extreme high pressure
− They make your exit very difficult
More reviews on the company profile.
Interview experience · Consultant Sales and Marketing Strategy
3 rounds: Screening round, HR round and business discussion with the Managing Director. The focus was mainly on your understanding of the sales domain and whether you are able to carry the conversation forward.
Average difficulty · India · 13 reports
More interview insightsJob description
Overview
AI Data Engineer role focusing on integrating and operationalizing AI modules into production-grade systems, including NLP pipelines, document processing, and data pipeline engineering for claims intelligence.
Responsibilities
- Integrate and adjust inference pipelines for NLP modules (document classification, entity extraction, de-identification, LLM-based trend detection).
- Connect DS-coded AI modules into end-to-end production workflows via Airflow DAGs on AWS EKS.
- Build and tune hybrid search pipelines combining multilingual dense embeddings with GIN lexical search.
- Integrate with OpenAI-based API platform for multilingual query expansion and LLM-driven trend detection.
- Design and maintain document preprocessing pipelines handling deeply nested JSON structures from S3/DataLake.
- Handle multilingual unstructured text processing across 300 GB of documents.
- Build chunking strategies and metadata extraction for downstream embedding and retrieval workflows.
- Author and maintain Airflow DAGs for batch processing and manage data flow across AWS services.
- Scale pipelines to handle 500K+ claims and hundreds of millions of text chunks.
- Deploy and version models using MLflow and Databricks.
- Manage schema evolution and migrations using Liquibase on Aurora PostgreSQL.
- Instrument pipelines with logging, monitoring, and evaluation scoring.
Qualifications
- Languages: Python (primary), SQL.
- AI / NLP: LLM API integration, multilingual embeddings, hybrid search, text classification, entity extraction, NER, PII masking.
- Data Pipelines: Apache Airflow, batch orchestration, large-scale unstructured data processing.
- Cloud & Infrastructure: AWS (S3, Athena, Glue, Fargate, EKS, SQS, Step Functions).
- Databases: PostgreSQL / Aurora, pgvector, GIN indexes, full-text search.
- ML Platform: MLflow, Databricks / Azure Databricks.
- DevOps: GitHub, CI/CD pipelines.
Nice to have
- Experience with RAG (Retrieval-Augmented Generation) pipeline design and evaluation.
- Familiarity with insurance claims or financial services data.
- Experience with multilingual NLP at scale.
- Knowledge of Liquibase for database schema management.
- Exposure to Runway Model Catalog or similar model deployment platforms.
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Job application FAQ
Last updated 15 September 2026
- How do I apply for AI Data Engineer - Claims Intelligence & Data Pipelines at Crescendo Global?
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- Is AI Data Engineer - Claims Intelligence & Data Pipelines remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Data Engineer - Claims Intelligence & Data Pipelines role at Crescendo Global?
- This is a senior AI Data Engineer - Claims Intelligence & Data Pipelines role. Key skills include AI Engineer, Data Pipeline, NLP, LLM. Feedback AI highlights matched vs missing skills on your profile after signup.