AI MLOPS/LLMOps Engineer

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.