Machine Learning Engineer with IOT

  • Dallas, TX
  • Posted 19 hours ago | Updated 19 hours ago

Overview

On Site
$50+
Contract - W2

Skills

This position will contribute to building a new toolset that enables shared computational environments for groups of users
focusing on leveraging open-source solutions to provide comprehensive support for both data science and data engineering projects intheIoTdomain.
Familiarity with MLOps practices and tools for experiment tracking
model versioning
and deployment

Job Details

Client Verizon

Job Title: Machine Learning Engineer with IOT Duration: 12+ Months contract (up to 24 Months) Location: San Diego, CA/Dallas, TX/Boston, MA (3 days in a week onsite)


Responsibilities:
Architect and develop scalable AI/ML solutions for IoT data processing and analysis
Design and implement shared computational environments for data science and engineering teams
Integrate open-source tools for experiment tracking, model lifecycle management, and workflow orchestration
Develop secure, cloud-native applications that ensure data privacy and compliance in IoT ecosystems
Collaborate with cross-functional teams to optimize AI/ML pipelines and improve system performance
Required Skill Set:
Proven experience in AI/ML development, with a focus on IoT applications and big data processing
Proficiency in cloud platforms (e.g., AWS, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes)
Strong programming skills in Python, with experience in data science libraries and ML frameworks
Familiarity with MLOps practices and tools for experiment tracking, model versioning, and deployment
Knowledge of data engineering principles, including ETL processes and workflow orchestration
This position will contribute to building a new toolset that enables shared computational environments for groups of users, focusing on leveraging open-source solutions to provide comprehensive support for both data science and data engineering projects in the IoT domain.

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