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Satori Analytics

AI-powered decision analytics for enterprises

Junior AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Computer Science, Software Engineering, Data Science, or a relevant field.
  • 1–2 years of experience in Data Science or machine learning, with knowledge of supervised, unsupervised, and semi-supervised learning.
  • Experience with deep learning architectures such as convolutional neural networks and Transformers.
  • Proficiency in Python and experience with PyTorch, scikit-learn, pandas, and Pydantic.
  • Exposure to cloud technologies such as Azure or AWS, Git, and Docker.
  • Fluency in English.

Responsibilities

  • Design, develop, and operate AI workflows and models in Python, focusing on leveraging large language models.
  • Build scalable AI solutions bridging AI/ML and software engineering.
  • Work with data scientists, developers, and domain experts to brainstorm ideas, share updates, and guide progress.
  • Research new trends and integrate relevant techniques into projects.
  • Translate business needs into practical ML/AI solutions and communicate results clearly.
  • Document work so it is reproducible and understandable across the team.

Desired Qualifications

  • Experience with Kubernetes.
  • Experience with Hugging Face, LangChain, and vector similarity search tools such as FAISS or Pinecone.
  • Experience with mainstream AI models from OpenAI, Google, or Anthropic.

About the Company

Satori Analytics

AI-powered decision analytics for enterprises

Satori Analytics creates data and AI solutions that help organizations make better decisions. It develops and deploys enterprise-grade AI systems that integrate data pipelines, analytics, and machine learning models into clients’ operations so managers can gain clear, data-backed insights. Unlike firms that only talk about AI, Satori emphasizes delivering production-ready AI solutions across industries such as Energy, Financial Services, Consumer Goods, Manufacturing, and Government, with deployments in more than 15 countries and 100+ production-grade AI solutions. The company differentiates itself through its track record of real deployments and its focus on practical impact rather than theoretical capabilities. Its goal is to provide clarity in decision making by making AI-driven insights readily usable for business leaders and operators.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2014

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