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Satori Analytics
Satori Analytics
51 – 200 Employees
ConsultingHealthcareManufacturing
Satori Analytics helps organizations turn data and artificial intelligence into clearer decisions and measurable business value. As a data and AI transformation partner, the company works across analytics, data management, business intelligence, data governance, workflow automation, generative AI, and AI adoption. Its team supports clients in sectors including retail, financial services, consumer packaged goods, energy, healthcare, and manufacturing, combining industry knowledge with partnerships across leading technology providers. Satori Analytics delivers tailored solutions and flexible engagement models designed to support sustainable outcomes and long-term client relationships.
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Junior AI Engineer

Develop Python-based AI workflows and LLM solutions at Satori Analytics. Support marketing measurement, customer insights, reporting, and machine learning initiatives for a global financial services company.

GRGreeceHybridFull-timeJuniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudDockerKubernetesPandasPythonPyTorchScikit-Learn

Description

  • Create and run Python AI workflows and models, with a focus on large language models.
  • Develop scalable solutions that connect AI and machine learning with software engineering.
  • Work with data scientists, developers, subject matter experts, and teams across product, engineering, data science, and business.
  • Track emerging developments and apply relevant new techniques.
  • Turn business needs into practical AI and machine learning solutions, and explain the results clearly.
  • Document work so colleagues can reproduce and understand it.
  • Support AI workflows and models for a global payments and financial services leader’s marketing products, including campaign measurement, customer insights, reporting, and AI and machine learning initiatives.

Requirements

  • Bachelor’s or master’s degree in computer science, software engineering, data science, or a related field.
  • 1–2 years of data science or machine learning experience, with knowledge of supervised, unsupervised, and semi-supervised learning.
  • Experience with deep learning architectures such as CNNs and Transformers.
  • Proficiency in Python and libraries such as PyTorch, scikit-learn, Pandas, and Pydantic.
  • Exposure to cloud technologies such as Azure or AWS, Git, and Docker; Kubernetes is an added advantage.
  • Fluent English and strong communication skills.
  • Additional experience with Hugging Face, LangChain, and vector similarity search tools such as FAISS or Pinecone is a plus.
  • Additional experience with widely used AI models from OpenAI, Google, or Anthropic is a plus.

Benefits

  • Competitive compensation reflecting skills and experience.
  • Flexible hybrid work from the modern Athens office, or remote work from the European Economic Area, Switzerland, or the UK for up to six weeks per year.
  • Private insurance and the opportunity to work with a highly regarded team.
  • A training budget for certifications and courses from technology partners such as Microsoft, AWS, Salesforce, and Databricks.
  • Opportunities to build skills and advance within the company.
  • A collaborative workplace with talented and supportive colleagues.
  • Social events, celebrations, and employee perks.
  • Modern tools and technology for the role.
  • A workplace that values employees’ ideas, contributions, and well-being.

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