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AI/ML Technical Architect Lead

Jobgether · Tallinn

Senior 🇬🇧 English
AWS SageMaker Bedrock RAG agentic AI ML frameworks MLOps cybersecurity data engineering model lifecycle management explainability bias mitigation

Description du poste

About the role

We are seeking a senior AI/ML Technical Architect Lead to drive the design, development, and deployment of secure, production‑ready machine‑learning solutions. Based in Estonia, you will shape AI/ML strategy, contribute hands‑on to model creation, and ensure compliance with rigorous enterprise and regulatory standards.

Key responsibilities

  • Lead AI/ML strategy, solution architecture, and modernization initiatives across complex programs.
  • Design, develop, integrate, and deploy scalable AI/ML models for decision‑support, automation, and predictive analytics.
  • Provide hands‑on technical leadership throughout the AI/ML lifecycle, from prototyping to production and ongoing optimization.
  • Oversee data engineering pipelines, MLOps processes, model lifecycle management, validation, monitoring, explainability, and bias mitigation.
  • Integrate AI/ML capabilities into secure enterprise environments, embedding cybersecurity, data governance, ethical AI, and compliance requirements.
  • Support security risk management activities, including threat assessments, authorization documentation, and governance reviews.
  • Collaborate with security teams, business owners, and program leadership to deliver secure AI solutions.
  • Mentor junior engineers and guide multidisciplinary teams.

Required profile

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
  • Extensive experience in AI/ML solution architecture and hands‑on model development.
  • Proven ability to lead technical teams in regulated, high‑security environments.
  • Strong understanding of responsible AI practices, risk management, and compliance frameworks.

Required skills

  • AWS cloud platform
  • Amazon SageMaker
  • Amazon Bedrock
  • Retrieval‑Augmented Generation (RAG) techniques
  • Agentic AI concepts
  • Leading ML frameworks (e.g., TensorFlow, PyTorch)
  • MLOps tooling and processes
  • Cybersecurity principles for AI systems
  • Data engineering and pipeline development
  • Model lifecycle management, explainability, and bias mitigation

What we offer

  • Opportunity to work with cutting‑edge AI technologies in a highly regulated sector.
  • Leadership role influencing enterprise AI strategy.
  • Collaborative, multidisciplinary environment.

Questions fréquentes

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Jobgether

Tallinn