Software Engineer (Data & AI) with Tech Lead potential – Healthcare

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SeniorFull-time·B2B·Umowa zlecenia
#440758·Dodano 4 dni temu·5
Źródło: justjoin.it
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Tech Stack / Keywords

PythonAILLMMachine LearningSoftware DevelopmentData EngineeringAWSHealthcareMLOpsTechnical leadership

Firma i stanowisko

datarabbit.ai is a data and AI partner for healthcare and life sciences organizations, delivering production-grade data and AI systems for medical devices, hospitals, life sciences, and pharma across the EU and US.

Wymagania

  • 5+ years in software and ML/AI engineering, with at least one year of leadership responsibility.
  • Problem-solving mindset with client business engagement.
  • Active use of LLMs, AI agents, and frontier tooling to automate work.
  • Genuine interest in healthcare technology.
  • Full-stack engineering skills centered on Python and AI, including infrastructure and data pipelines.
  • Ability to scope, estimate, and deliver end-to-end projects.

Nice to have:

  • Knowledge of healthcare-specific systems and standards (e.g., HL7/FHIR, DICOM, Nextflow).
  • Experience building or leading engineering teams in B2B or consulting.
  • Experience with classical ML, deep learning frameworks, and LLM stacks.
  • Experience with data engineering and orchestration tools like Airflow or Prefect.
  • Strong cloud skills, preferably AWS, but also Azure/GCP.
  • Public speaking, technical writing, or open source contributions.
  • Academic degrees in CS, Biomedical Engineering, ECE, or related.
  • GitHub or portfolio presence is a plus.

Obowiązki

  • Design and expand data pipelines and architecture for medical imaging analysis systems.
  • Conduct sync meetings to communicate design and project progress.
  • Review pull requests and implement code changes in live production model services.
  • Participate in stakeholder meetings to define rollout scopes and actions.
  • Diagnose and address production alerts related to data, monitoring, or retraining needs.
  • Translate design into tasks and coordinate team workflows.

Over time:

  • Own project streams end-to-end including architecture, code quality, and delivery.
  • Lead engineers and participate in discovery and scoping calls.
  • Make architecture decisions and estimates.
  • Collect funded certifications in cloud and MLOps.

Benefity

  • Impactful work on production healthcare systems affecting patients and research.
  • Adoption of new AI models and tools rapidly without lengthy approvals.
  • Diverse work spanning ML, infrastructure, data, and user-facing applications.
  • Clear path to Tech Lead with influence on architecture and hiring.
  • Fully remote work with flexible hours.
  • Dedicated training budget, learning sessions, quarterly certifications funding, research opportunities, and hackathons.

Inne informacje

Please be informed that the data controller is datarabbit Michał Mikołajczak. Candidates have rights regarding personal data processing according to applicable laws, with data processed for recruitment purposes. Providing mandatory data is required to proceed. Consent for additional data processing is voluntary and withdrawable. Data recipients include Just Join IT service and associated entities.

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