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ML Engineer

Promantus, IncPlano, TX🇺🇸United StatesPosted 23 Aug 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
1 week 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.

 

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