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4 дня назад

Delivery Consultant (AI/ML)

131 300 - 195 400$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Delivery Consultant (AI/ML): Designing and implementing scalable AI/ML and Generative AI solutions for global enterprises with an accent on MLOps and AWS cloud architecture. Focus on building end-to-end ML pipelines and serving as a technical advisor to integrate GenAI into business applications.

Location: Must be based in one of the following US locations: Jersey City, Austin, Seattle, Arlington, Atlanta, New York, Denver, Herndon, Chicago, or Dallas

Salary: $131,300 – $195,400 per year

Company

hirify.global Web Services (AWS) is a comprehensive and broadly adopted cloud platform providing a robust suite of products and services to startups and Global 500 companies.

What you will do

  • Implement end-to-end AI/ML and GenAI projects, covering data preparation, model development, deployment, and monitoring.
  • Design and deploy high-performance, reliable, and secure machine learning pipelines.
  • Build scalable ML solutions and operations (MLOps) leveraging AWS services and Generative AI.
  • Collaborate with cross-functional teams (Applied Science, DevOps, Data Engineering) to operationalize AI models.
  • Act as a trusted advisor to customers regarding cloud architectures and AI/ML industry trends.
  • Mentor team members and create reusable artifacts to share knowledge within the organization.

Requirements

  • 3+ years of experience building machine learning and generative AI models for business applications.
  • 3+ years of customer-facing experience solving business problems with advanced technologies.
  • Proficiency in coding, data querying languages (SQL), and scripting (Python).
  • Experience with AWS cloud services specifically related to machine learning (e.g., hirify.global SageMaker).
  • Must be based in the USA.

Nice to have

  • Experience with AI agents and orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
  • Proficiency in PyTorch or TensorFlow for deep learning and computer vision.
  • Knowledge of AWS Bedrock, EC2, ECS, EKS, or OpenSearch.
  • Domain expertise in healthcare and life sciences.
  • Relevant AWS certifications.

Culture & Benefits

  • Comprehensive compensation package including sign-on payments and Restricted Stock Units (RSUs).
  • Full health benefits including medical, dental, vision, and mental health support.
  • 401(k) matching and paid time off.
  • Inclusive team culture with employee-led affinity groups and diversity conferences.
  • Emphasis on work-life harmony and flexibility in the working culture.

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