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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized MLOps/LLM role with niche skills, metro location and mid-tier employer yields moderate competition.
Highly specialized LLM, multilingual NLP, and MLOps skills reduce cross-industry transferability.
Many mandatory tooling and platform requirements (Airflow, MLflow, Databricks, AWS, vector DB) increase filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Integrate and operationalize AI/NLP inference pipelines including document classification, entity extraction, and LLM trend detection in production workflows using Airflow on AWS EKS.
Design and maintain large-scale document preprocessing and data pipelines handling multilingual, unstructured text and complex JSON documents using AWS services and Apache Airflow.
Deploy, monitor, and maintain ML models with MLflow and Databricks, ensuring schema management and pipeline quality for high-throughput document processing systems.
Minimum Requirements
Proficiency in Python and SQL with experience deploying AI/NLP solutions like document classification, entity extraction, NER, PII masking, de-identification, hybrid search, and LLM integrations.
Strong experience with Apache Airflow for orchestrating batch data pipelines and automation.
Experience with AWS cloud services including S3, Athena, Glue, Fargate, EKS, SQS, and Step Functions.
Bachelor's degree in Computer Science, IT, Data Science, AI, Statistics, Mathematics, or related field; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in integrating data science-coded AI modules into production systems and building scalable, multilingual document processing pipelines.
Skilled in hybrid search implementations using vector embeddings and lexical search technologies such as pgvector, PostgreSQL/Aurora, and GIN indexes.
Familiar with ML lifecycle management and production DevOps practices including GitHub-based CI/CD, schema migrations, monitoring, and model versioning.