Third Parties-Absolutely no phone calls please !!
Compensation-The maximum compensation for this position is $ 40.00 per hour W2, $ 50.00 per hour C2C.
LOCAL CANDIDATES ONLY PLEASE !! Candidates must already reside in the Dallas region. The client is not open to canddiates willing to relocate .
Our client, a multinational telecommunications technology company, has an urgent and immediate need for an experienced Machine Learning Engineer to work onsite in Plano, TX.
The ideal candidate will bring a strong blend of Machine Learning Engineering and hands-on Data Engineering expertise, with experience building scalable, production-grade data pipelines and supporting enterprise ML workflows. This role focuses heavily on post-ingestion data processing, ML enablement, workflow orchestration, and advanced data modeling.
Key Responsibilities
Design, develop, and maintain production-grade data pipelines and ML workflows.
Build scalable solutions using Python, PySpark, Databricks, and Spark.
Develop and support APIs and ML workflow integrations.
Work with large-scale distributed data systems including Kafka, Snowflake, MongoDB, PostgreSQL, and Redis.
Implement advanced SQL and NoSQL data models, including slowly changing dimensions (SCD) and temporal mapping strategies.
Support data migrations involving identifier remapping and historical backfills.
Utilize Delta Lake and MLflow to support model lifecycle management and data versioning.
Develop and manage workflow orchestration processes for ML and data engineering pipelines.
Collaborate with cross-functional engineering and data science teams in an Azure cloud environment.
Monitor and troubleshoot platform performance using ELK (Elastic/Kibana) tools.
Contribute to GenAI-related initiatives and next-generation AI solutions where applicable.
Required Skills:
5 to 8 years Experience
Experience building production-grade data pipelines,
Solid Python skills with APIs development and familiarity with ML workflows.
Delta Lake, MLflow, and workflow orchestration experience.
Migrations involving identifier remapping or historical backfills.
GenAI experience will be a big plus
Familiarity with ELK (Elastic Kibana)
Apply today for immediate consideration.l look forward to hearing from you.
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