ML Engineer

Plano, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • Databricks and PySpark
  • Spark
  • Kafka
  • Snowflake
  • MongoDB
  • PostgreSQL
  • Redis

Summary

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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10457949
  • Position Id: 9055662
  • Posted 1 day ago
Contact the job poster
Sandeep Kumar

Sandeep Kumar

Recruiter @ Promantus, Inc
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