ML Engineer

Promantus Inc; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Promantus Inc in Plano, TX, is seeking an ML Engineer with hands-on software engineering skills in Python, PySpark, and Databricks to build end-to-end ML and data pipelines in production.

You will work with Spark, Kafka, Snowflake, MongoDB, PostgreSQL and Azure cloud, design SCD/temporal data models, implement Delta Lake/MLflow workflows, and contribute API services using FastAPI. GenAI experience is a plus, but classical ML/DS exposure is required.

Qualifications

• Strong Python development with production-ready ML pipelines.
• Experience with PySpark, Databricks, Spark, and streaming with Kafka.
• Experience with SQL and No-SQL databases (PostgreSQL, MongoDB).
• Knowledge of Delta Lake, MLflow, and workflow orchestration.
• Experience building production-grade data and ML pipelines.
• Experience API development (FastAPI).
• GenAI/Agents experience is a plus; however classic ML/DS exposure required.

Responsibilities

• Develop and maintain production-grade ML and data pipelines.
• Collaborate with ML/DS teams to deploy models in production.
• Design data models and data quality checks for SCD/temporal mappings.
• Build API services and interfaces (FastAPI) for model serving.
• Work with Delta Lake, MLflow, and orchestration tools.

Skills

Python

PySpark

Databricks

Spark

Kafka

Snowflake

MongoDB

PostgreSQL

Redis

Azure

FastAPI

ML pipelines

Data pipelines

ML workflows

Delta Lake

MLflow

GenAI

ELK

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.