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ML Engineer

AgreeYa SolutionsPlano, TX🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

This ML Engineer role offers a fantastic opportunity to build production-grade ML and data pipelines using cutting-edge technologies like Databricks and Azure cloud, positioning you for significant technical growth. You'll thrive here if you possess strong Python, PySpark, and software engineering skills, with a passion for developing innovative ML solutions. Apply now to join a dynamic team and make a real impact!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
3 weeks ago
MongoDBSQLELKMLflowSnowflakeAzureDatabricksKafkaKibanaPostgreSQLPythonRedis

Job Description

Title- ML Engineer
Location- Plano, TX Fully Onsite (LOCALS ONLY)
Type- Contract- C2C Works
Duration- 18+ months.
Mode of Interview- F2F

Job Description:
This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, 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 APIs development (FastAPIs) 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)
The candidate must have classical ML/DS exposure with production pipeline design and development experience.

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