AI MLOPS/LLMOps Engineer

Ex; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Ex is seeking a Data Engineer / AI Engineer to build and operationalize large-scale AI/NLP solutions on cloud platforms, with emphasis on productionizing LLM integrations and multilingual unstructured text processing.

You will develop scalable data pipelines using Python/SQL, orchestrate with Apache Airflow, and work with AWS services to manage complex document workflows and vector search components.

Qualifications

• Proficiency in Python and SQL with deployment of AI/NLP solutions including classification, extraction, NER, PII masking, de-identification, and LLM integrations.
• Strong knowledge of Apache Airflow for end-to-end data pipelines and batch processing automation.
• Experience with AWS services (S3, Athena, Glue, Fargate, EKS, SQS, Step Functions).
• Design and maintenance of large-scale document processing systems for multilingual content.
• Familiarity with vector search and retrieval systems (embeddings, pgvector, PostgreSQL/Aurora, GIN indexes, full-text search).
• Experience with ML lifecycle management using MLflow, Databricks/Azure Databricks, model deployment, monitoring, and evaluation.
• Strong DevOps practices including GitHub-based development.

Skills

Python

SQL

AI/LLM integrations

Apache Airflow

AWS

Vector search

pgvector

PostgreSQL

Aurora

MLflow

Databricks

GitHub DevOps

Job description

Seeking a strong Data Engineer / AI Engineer with expertise in building and operationalizing large-scale AI and NLP solutions on cloud platforms. The ideal candidate should have hands‑on experience integrating AI/LLM models into production workflows, developing scalable data pipelines, and processing large volumes of multilingual unstructured text.

Key strengths should include:

• Proficiency in Python and SQL with experience deploying AI/NLP solutions such as document classification, entity extraction, NER, PII masking, de‑identification, hybrid search, and LLM integrations.
• Strong knowledge of Apache Airflow for orchestrating end‑to‑end data pipelines and automating batch processing workflows.
• Experience working with AWS services including S3, Athena, Glue, Fargate, EKS, SQS, and Step Functions.
• Capability to design and maintain large‑scale document processing systems handling complex JSON structures, embedded documents, and multilingual content.
• Familiarity with vector search and retrieval systems, including embeddings, pgvector, PostgreSQL/Aurora, GIN indexes, and full‑text search.
• Experience with ML lifecycle management using MLflow, Databricks/Azure Databricks, model deployment, monitoring, and evaluation frameworks.
• Strong DevOps practices including GitHub‑based development …