Satori Analytics
Satori Analytics
Satori Analytics palīdz organizācijām pārvērst datus un mākslīgo intelektu skaidrākos lēmumos un izmērāmos biznesa ieguvumos. Kā datu un mākslīgā intelekta transformācijas partneris uzņēmums darbojas analītikas, datu pārvaldības, biznesa informācijas, datu pārvaldības principu ieviešanas, darbplūsmu automatizācijas, ģeneratīvā mākslīgā intelekta un mākslīgā intelekta ieviešanas jomās. Tā komanda atbalsta klientus mazumtirdzniecības, finanšu pakalpojumu, patēriņa preču, enerģētikas, veselības aprūpes un ražošanas nozarēs, apvienojot nozares zināšanas ar partnerībām ar vadošajiem tehnoloģiju nodrošinātājiem. Satori Analytics piedāvā pielāgotus risinājumus un elastīgus sadarbības modeļus, kas izstrādāti ilgtspējīgu rezultātu un ilgtermiņa klientu attiecību veicināšanai.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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