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  1. Home
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  3. it
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  5. ML Infrastructure Architect
Openkyber logo

ML Infrastructure Architect

Not Disclosed•ContractorOn-site

location_onSan Joaquin County, California, United States

Apply Now

About the Role

We are seeking an IT - AI/ML Engineer 1 to join our client's team in San Jose, CA. In this contract position, you will serve as a key contributor to the development of scalable and robust machine learning models designed for predictive and prescriptive analytics. The role exists to bridge the gap between complex data mining and actionable business insights, ensuring that advanced algorithms are seamlessly integrated into production systems.

You will work closely with cross-functional teams, including data engineers and software developers, to define problem statements and implement data-driven solutions. A day in the life involves analyzing large, complex datasets to identify trends, validating model performance against various metrics, and staying current with the latest AI/ML research to propose continuous improvements. This position offers the opportunity to apply state-of-the-art methods to real-world challenges while collaborating in a dynamic environment.

Work location

Work model: On-site

location_on

San Joaquin County, California, United States

California

Key Responsibilities

  • check_circleDesign, develop, and maintain scalable machine learning models for predictive analytics
  • check_circleImplement algorithms and integrate machine learning models into production systems
  • check_circleCollaborate with cross-functional teams to define problem statements and implement solutions
  • check_circleValidate model performance and accuracy using various metrics
  • check_circleStay current with AI/ML research to propose and implement improvements
  • check_circlePerform data mining to analyze large datasets and extract insights

Requirements

  • verifiedProficient in machine learning frameworks (TensorFlow, PyTorch) and libraries (scikit-learn)
  • verifiedStrong coding skills in Python, R, or Java
  • verifiedKnowledge of data structures, data modeling, and software architecture
  • verifiedExpertise in statistical modeling, machine learning, deep learning, and/or natural language processing
  • verifiedExperience with big data technologies (Hadoop, Spark, or Kafka)
Openkyber logo
Company

Openkyber

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

Lead

Job Type

Contractor

Skills Required

Machine Learning

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Frequently asked questions about ML Infrastructure Architect at Openkyber

What does a ML Infrastructure Architect at Openkyber do?expand_more
A ML Infrastructure Architect at Openkyber is responsible for the following: Design, develop, and maintain scalable machine learning models for predictive analytics; Implement algorithms and integrate machine learning models into production systems; Collaborate with cross-functional teams to define problem statements and implement solutions; and Validate model performance and accuracy using various metrics.
What are the requirements for this ML Infrastructure Architect role?expand_more
Openkyber is looking for candidates who meet the following requirements: Proficient in machine learning frameworks (TensorFlow, PyTorch) and libraries (scikit-learn); Strong coding skills in Python, R, or Java; Knowledge of data structures, data modeling, and software architecture; Expertise in statistical modeling, machine learning, deep learning, and/or natural language processing; and Experience with big data technologies (Hadoop, Spark, or Kafka).
Where is the ML Infrastructure Architect role at Openkyber located?expand_more
ML Infrastructure Architect at Openkyber is based in San Joaquin County, California, United States. This is a on-site role.
Is this ML Infrastructure Architect job remote, hybrid, or on-site?expand_more
Openkyber has listed this ML Infrastructure Architect role as on-site.
How much experience is required for this ML Infrastructure Architect role?expand_more
Candidates for ML Infrastructure Architect at Openkyber should have lead.
What skills do you need for the ML Infrastructure Architect role at Openkyber?expand_more
Key skills for ML Infrastructure Architect at Openkyber include Machine Learning; Predictive Analytics; Prescriptive Analytics; Data Mining; Tensorflow; Pytorch; Scikit-Learn; and Python.
What category does the ML Infrastructure Architect role belong to?expand_more
ML Infrastructure Architect at Openkyber is part of the it job category on Recrutus.
Recrutus

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Python
R
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