Technology

ML Engineer

Promantus, IncPlano, TX🇺🇸United StatesPosted Sep 27, 2026

Why This Role Stands Out

This hybrid ML Engineer role at Promantus offers an exciting opportunity to build production-grade ML and data pipelines using cutting-edge technologies like Python, PySpark, and Databricks, with significant potential for growth. You'll thrive here if you possess strong software engineering skills, experience with cloud platforms, and a passion for developing impactful ML solutions. Apply now to join a dynamic team and advance your career in a flexible work environment.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Plano, TX, United States

Posted

3 weeks ago

FastAPIMongoDBSQLELKSnowflakeAzureDatabricksKafkaKibanaPostgreSQLPythonRedis

Job Description

This role is ML Engineering with hands-on software engineering skills using Python, PySpark, and Databricks.

Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.
Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings.
Experience building production-grade ML pipelines and data pipelines.
Solid Python development skills with API development (FastAPI) and familiarity with ML workflows.
Delta Lake, MLflow, and workflow orchestration experience.
Agentic development and GenAI experience will be a big plus
Familiarity with ELK (Elastic Kibana)

Please note that DE with GenAI knowledge will not be shortlisted; the candidate must have classical ML/DS exposure with production pipeline design and development experience.