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Director Google Machine Learning Engineer Jobs in North Carolina

The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field • Excellent technical communication skills • Ability to work in ...

We are looking for an experienced software engineer with machine learning expertise to join us in ... Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience ...

We are looking for an experienced software engineer with machine learning expertise to join us in ... Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience ...

New

## Machine Learning EngineerApplylocations: Charlotte NC - 600 S Tryon St.: Morrisville NC, 3015 ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

... Machine Learning Engineer II. We are looking for an experienced software engineer with machine ... Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience ...

New

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Director Google Machine Learning Engineer information

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Cities in North Carolina with the most Director Google Machine Learning Engineer job openings:

Machine Learning Engineer (Google Cloud Platform, Vertex AI, Dataproc, Apache Iceberg) - W2 Only

Info Dinamica Inc

Charlotte, NC • On-site

$111K - $134K/yr

Other

Posted yesterday

New


Job description

Job Title: Machine Learning Engineer (Google Cloud Platform, Vertex AI, Dataproc, Apache Iceberg)
Location: Charlotte, NC
W2 Position
Name
PySpark
Job Summary
We are seeking a highly skilled Machine Learning Engineer to build, deploy, and manage scalable machine learning solutions on Google Cloud Platform (Google Cloud Platform). The successful candidate will be responsible for operationalizing machine learning models developed by Data Scientists, ensuring reliable execution, monitoring, performance optimization, and integration with enterprise data platforms.
This role will focus on leveraging Vertex AI, Dataproc, Apache Spark, and Apache Iceberg to create production-grade ML pipelines capable of processing large-scale data and supporting advanced analytics and AI use cases.
________________________________________
Key Responsibilities
Machine Learning Platform Engineering
Deploy, execute, and manage machine learning models provided by Data Scientists using Vertex AI.
Design and maintain automated ML pipelines for batch and near real-time scoring.
Configure and manage Vertex AI training, model registry, endpoints, and prediction services.
Monitor model execution, performance, latency, and operational health.
Data Engineering & Processing
Develop scalable data processing frameworks using Dataproc, PySpark, and Spark SQL.
Build robust data ingestion, transformation, and feature engineering pipelines.
Optimize distributed processing workloads for performance and cost efficiency.
Ensure data quality, completeness, and consistency across ML workflows.
Apache Iceberg Data Management
Design and manage large-scale data lakes using Apache Iceberg.
Implement partitioning, schema evolution, versioning, and time-travel capabilities.
Optimize Iceberg table performance for machine learning and analytical workloads.
Collaborate with data platform teams to establish enterprise data management standards.