ML Engineer — Production Pipelines (Python & PySpark)

Tiltedge Solutions; Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Tiltedge Solutions is seeking an ML Engineer with hands-on software engineering skills using Python and PySpark, Databricks, and Spark. You will work with Kafka, Snowflake, MongoDB, PostgreSQL, Redis, and Azure cloud to build robust data and ML pipelines.

Experience with Delta Lake, MLflow, and workflow orchestration is required, and familiarity with ELK is a plus. GenAI knowledge is welcomed but note that production-level ML/DS pipelines are essential.

Qualifications

• Hands-on ML/DS with production pipeline design and development.
• Strong Python-based data apps and API development experience.

Skills

Python

PySpark

Spark

Kafka

ML pipelines

Data pipelines

Tools

Databricks

Snowflake

MongoDB

PostgreSQL

Redis

Azure cloud

Delta Lake

MLflow

ELK (Elastic Kibana)

FastAPI

GenAI

Job description

Tiltedge Solutions is seeking an ML Engineer with hands-on software engineering skills using Python and PySpark, Databricks, and Spark. You will work with Kafka, Snowflake, MongoDB, PostgreSQL, Redis, and Azure cloud to build robust data and ML pipelines.

Experience with Delta Lake, MLflow, and workflow orchestration is required, and familiarity with ELK is a plus. GenAI knowledge is welcomed but note that production-level ML/DS pipelines are essential.