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1 день назад

Senior Delivery Consultant (AI/ML)

153 600 - 239 000$
Формат работы
onsite
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

Текст:
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TL;DR

Senior Delivery Consultant (AI/ML): Designing, implementing, and managing AWS AI/ML and GenAI solutions for global enterprises with an accent on end-to-end ML project lifecycles and scalable architectures. Focus on building ML pipelines, optimizing MLOps, and integrating GenAI technologies to drive business value.

Location: Must be based in the USA (Jersey City, Seattle, Atlanta, New York, Herndon, Chicago, Mountain View, San Francisco, or Dallas) with potential travel to customer sites.

Salary: $153,600 – $239,000 annually

Company

The hirify.global Professional Services (ProServe) team helps customers realize business outcomes through the AWS Cloud.

What you will do

  • Lead end-to-end AI/ML and GenAI projects from requirements gathering to deployment and monitoring.
  • Design and implement scalable, secure machine learning pipelines and MLOps using AWS services.
  • Collaborate with cross-functional teams including Applied Science, DevOps, and Data Engineering.
  • Serve as a technical leader and trusted advisor to customers on cloud architectures and AI trends.
  • Mentor other professionals and create reusable artifacts to share best practices within the organization.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in cloud architecture and solution implementation.
  • 5+ years of development experience in Python, Java, Bash, or Perl.
  • 5+ years of experience leading technical teams focused on data, software, or ML engineering.
  • 5+ years of experience in predictive modeling, NLP, and deep learning, including deploying models on cloud platforms like SageMaker.
  • Must be based in the USA in one of the listed cities and available for travel.

Nice to have

  • Knowledge of ML Frameworks (PyTorch, TensorFlow) and NLP models (BERT, GPT).
  • Experience with Infrastructure as Code (Terraform, CloudFormation, CDK) and CI/CD pipelines.
  • Expertise in MLOps tools (MLFlow, Kubeflow, Airflow).
  • Experience with GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering).
  • Familiarity with HIPAA and GDPR compliance standards.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, vision, and prescription coverage.
  • 401(k) matching, paid time off, and parental leave.
  • Strong emphasis on work-life harmony and flexibility within the working culture.
  • Inclusive team culture with employee-led affinity groups.
  • Access to extensive mentorship and career-advancing resources.

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