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7 часов назад

Senior ML Engineer (AI & GenAI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior ML Engineer (AI & GenAI): Designing and delivering production Generative AI applications and machine learning platforms on AWS with an accent on Amazon Bedrock, retrieval systems, SageMaker, and secure scalable architectures. Focus on building agentic systems, evaluating and monitoring LLM solutions, implementing responsible AI controls, and leading technical discovery with clients.

Location: Romania

Company

hirify.global delivers AI-led cloud migration, implementation, managed services, and consulting solutions across AWS and Salesforce.

What you will do

  • Design, build, and deploy Generative AI applications on Amazon Bedrock, including retrieval-augmented generation, document intelligence, summarization, classification, and assistant solutions.
  • Architect agentic and multi-agent systems using Bedrock, Step Functions, Lambda, and related AWS services.
  • Build retrieval, evaluation, observability, guardrail, prompt-injection defense, PII-handling, and responsible AI capabilities.
  • Own the SageMaker lifecycle, including feature engineering, model training and tuning, deployment, MLOps, retraining, drift detection, and CI/CD.
  • Build AI data foundations and secure, scalable, multi-tenant AWS architectures using services such as S3, Glue, Spark, Redshift, OpenSearch, VPC, EKS, ECS, and Lambda.
  • Lead technical discovery, requirements sessions, architecture discussions, client presentations, code reviews, reusable accelerators, and mentoring.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, a related quantitative field, or equivalent experience.
  • 5–8+ years of experience in machine learning engineering, data science, or AI engineering, including at least 3 years of hands-on AWS experience.
  • At least 1 year of production-grade Generative AI or LLM experience, including a production system or client-accepted proof of concept.
  • Experience working directly with external clients or business stakeholders and independently leading technical sessions.
  • Ability to work effectively across significant time-zone differences with strong self-direction and ownership.
  • Excellent written and spoken English, including architecture documentation and presentations to senior audiences.

Culture & Benefits

  • Learning and personal development supported by experienced leaders.
  • Competitive salary and bonus incentives.
  • Benefits and flexible working hours.
  • Mentoring and collaboration with engineering and consulting professionals.

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