Bessemerstraße 51, First Floor, Berlin 12103, Germany

Senior ML Engineer

Germany, Bucharest AllCloud

Job Description

AllCloud is seeking a Senior Machine Learning Engineer – AI & GenAI (AWS) to deliver client-facing artificial intelligence and Generative AI solutions on AWS. The role involves hands-on consulting, technical delivery, and ownership of end-to-end workstreams in collaboration with client architects, stakeholders, data scientists, ML engineers, and solution architects.

Key responsibilities include designing and deploying Generative AI applications using Amazon Bedrock, building retrieval-augmented generation (RAG) solutions, implementing agentic systems, and managing machine learning lifecycles through Amazon SageMaker. The engineer will also develop AI evaluation and observability frameworks, implement responsible AI controls, integrate data platforms, and design secure, scalable AWS architectures. Additional duties include infrastructure as code, CI/CD delivery, workload cost optimization, technical discovery, client presentations, code reviews, and mentoring engineers.

Applicants should have a bachelor’s or master’s degree in a relevant quantitative or technical field, or equivalent demonstrated experience. The position requires 5–8+ years of experience in machine learning engineering, data science, or AI engineering, including at least three years of hands-on AWS experience. Candidates must also have production-grade Generative AI experience, client-facing technical leadership skills, strong ownership, and excellent written and spoken English.

AllCloud offers competitive salaries, bonus incentives, benefits, flexible hours, and mentoring opportunities. The position is full-time and located in Bucharest, Romania.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, a related quantitative field, or equivalent demonstrated experience.
  • 5–8+ years of experience in machine learning engineering, data science, or AI engineering.
  • At least 3 years of hands-on AWS experience.
  • At least 1 year of production-grade Generative AI/LLM experience.
  • Experience delivering a production system or a client-accepted proof of concept that can be explained in architectural detail.
  • Demonstrated experience working directly with external clients or business stakeholders.
  • Ability to independently lead technical sessions.
  • Experience working effectively across significant time-zone differences.
  • Strong self-direction and ownership.
  • Excellent written and spoken English.
  • Ability to create clear architecture documentation and present to senior audiences.

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