AI/ML Engineer
Core
Design, develop, and optimize AI/ML pipelines, data workflows, and feature stores to ingest, transform, and analyze diverse data (text, images, audio) for anomaly detection, redaction, and summarization using Gen AI and NLP.
Role type
Senior AI/ML Engineer (Data Engineering & Gen AI)
Builds
Scalable data pipelines, AI applications interacting with MCP servers, and observability solutions for data workflows.
Domain
Networking, Digital Experience, Cloud Data Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, SQL, RDBMS, Gen AI applications, LLMs, prompt engineering, embedding models, vector databases, NLP techniques, MCP servers, advanced web-crawling & scraping, ETL/ELT, Kafka, Spark Streaming, AWS S3, Snowflake
Preferred skills
Databricks, AWS services (Glue, EMR, EC2, RDS, IAM), Github Actions, RCA, SQL Data warehouse administration
Technologies
Python, PySpark, SQL, RDBMS, Databricks, AWS (S3, Glue, EMR, EC2, RDS), Kafka, Spark, Snowflake, MCP servers, LLMs, Vector databases
Responsibilities
Develop and maintain data pipelines and Feature Stores; Design and architect scalable data processing pipelines; Identify and redact sensitive information using Gen AI and NLP; Detect anomalies and unusual patterns using AI/ML; Implement text extraction and summarization using LLM/SLM; Automate observability solutions for data pipelines; Build AI applications interacting with MCP servers; Implement advanced data transformations and quality checks.
Seniority
Senior, hands-on IC
