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8 часов назад

Delivery Consultant (GenAI/ML & Data Science)

153 600 - 239 000$
Тип работы
fulltime
Грейд
senior
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 (GenAI/ML & Data Science): Designing and implementing complex, scalable GenAI and ML applications on AWS for enterprise customers with an accent on model training, deployment strategies, and cloud architecture. Focus on architecting secure serverless solutions, optimizing model performance, and driving customer success through cloud adoption.

Location: Must be based in the USA (Seattle, San Francisco, or Dallas)

Salary: $153,600 – $239,000

Company

AWS is the world’s most comprehensive and broadly adopted cloud platform, providing a robust suite of products to startups and Global 500 companies.

What you will do

  • Design and build scalable, secure GenAI and ML applications tailored to customer needs on AWS.
  • Provide technical guidance and implementation support throughout the project delivery lifecycle.
  • Collaborate with stakeholders to define model training, building, and deployment strategies.
  • Act as a trusted advisor on industry trends and emerging AI/ML technologies.
  • Mentor team members and create reusable technical artifacts to share knowledge.

Requirements

  • 7+ years of experience in technical design, architecture, and large-scale project management.
  • 5+ years of experience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or Kinesis.
  • 7+ years of experience implementing serverless distributed solutions.
  • 5+ years of software development experience using object-oriented languages.
  • 5+ years of experience hosting and deploying GenAI/ML solutions including training, fine-tuning, and inference.
  • Must be based in the USA (Seattle, San Francisco, or Dallas).

Nice to have

  • PhD or Master’s degree in Computer Science or a related technical field.
  • AWS Professional level certifications (Solutions Architect, DevOps, ML Specialty).
  • Hands-on experience with deep learning architectures like CNN, RNN, LSTM, or Transformers.
  • Knowledge of security and compliance standards such as HIPAA and GDPR.
  • Experience with infrastructure as code tools like Terraform.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, vision, and mental health support.
  • 401(k) matching and restricted stock units (RSUs) as part of the compensation package.
  • Inclusive culture with employee-led affinity groups and diversity conferences.
  • Focus on work-life harmony and flexibility within the working culture.
  • Extensive mentorship and career growth resources.

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