Application Consultant

Mitchell Martin
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$76,960.0 - $97,760.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Distributed Data Store Machine Learning Language Modeling Software Engineering Real Time Systems Real Time Data Machine Learning Operations Api Design Data Pipelines
+2 more
Programming Languages Microservices

Job description

Join our team as an Application Consultant in the vibrant region of New York, NY. This onsite contract position requires expertise in modern AI/ML integration, API development, and distributed data technologies. You will be instrumental in building and deploying AI models, particularly those involving large-scale language models and real-time data pipelines., * Develop and integrate AI/ML models into existing systems.

  • Collaborate with cross-functional teams to design and implement data pipelines.
  • Deploy and maintain microservices-based APIs.
  • Utilize agile methodologies to manage project tasks and timelines.
  • Work with real-time data technologies to enhance system performance.

Requirements

  • 8-12 years of experience in software engineering and AI/ML integration.
  • Proficient in a high-level programming language.
  • Experience with API development and integration.
  • Knowledge of distributed data technologies and real-time processing.
  • Background in agile project management and collaboration.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Understanding the core concepts of API design

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Transitioning from traditional software development to artificial intelligence consulting

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Steve Upton Steve Upton · World Congress 2022

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Modern application stacks and real-time data requirements

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Exploring pathways into the machine learning engineering field

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Prioritizing backward compatibility in API design

Justin Kitagawa · Coffee With Developers

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