AI MLOPS/LLMOps Engineer
EXL · Gurugram
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, CI/CD pipelines, schema management, and production support.