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AI Consultant

Role overview

Qualifications

  • Degree or hands-on experience in computer science, data science or a related field
  • Python proficiency, ideally with agentic workflows, APIs, automation or RAG-based applications
  • CI/CD knowledge: testing, security, deployment and guardrails for production-ready solutions
  • Fluent in English; French is a plus

Responsibilities

  • Engaging with business stakeholders to clarify objectives and reframe them into testable problem statements
  • Assessing and selecting the right approach per case (AI agent, LLM solution, or other AI/ML tool)
  • Designing and building proofs of concept
  • Deploying and running pilots under realistic conditions

Key facts

Hard skills

Other skills

  • Communication

About the company

ETH juniors logo

ETH juniors

Business Consulting & Services

Since 1997 ETH juniors has been building a major bridge between university and industry. ETH juniors unites outsourcing, project management, as well as a platform for recruiting and event marketing. We build a bridge between theory and practice, between university and industry. ETH juniors is the junior enterprise of ETH Zurich and is ranked among the top three of 200 junior enterprises in Europe. Led by motivated students, ETH juniors conducts projects for companies, analyses various sets of problems and develops creative solutions. ETH juniors carries out tasks for national SMEs as well as international enterprises, which require additional employees within a short period of time or are in need of some particular knowledge. Thus, new ideas are generated and integrated from a new, unbiased point of view. As a link between university and industry, ETH juniors brings interested students closer to your company while at the same time promoting your enterprise at ETH – a win-win-situation.

Company details

Company typeSME
IndustryBusiness Consulting & Services
Company size51 - 200

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Job description

Job Description

A Swiss technology group specializing in robust connectivity solutions for data, signals and power supply is building an internal AI Lab to explore and validate AI business cases across the organization. They're looking for someone to take real business challenges from their production and industrial operations and turn them into working proofs of concept, from problem framing through pilot and go/no-go recommendation.

You'll get real ownership of your use cases from idea to pilot, mentorship from an experienced AI team, and hands-on exposure to genuine production-industry challenges plus a concrete portfolio of delivered POCs and pilots by the end of the assignment.

Your Tasks

  • Engaging with business stakeholders to clarify objectives and reframe them into testable problem statements
  • Assessing and selecting the right approach per case (AI agent, LLM solution, or other AI/ML tool)
  • Designing and building proofs of concept
  • Deploying and running pilots under realistic conditions
  • Evaluating pilot results against business requirements
  • Documenting findings and making go/no-go recommendations
  • Contributing to the Lab's knowledge base

Requirements

  • Degree or hands-on experience in computer science, data science or a related field
  • Python proficiency, ideally with agentic workflows, APIs, automation or RAG-based applications
  • CI/CD knowledge: testing, security, deployment and guardrails for production-ready solutions
  • Problem framing: translating business needs into technical solutions, incl. judging when AI is the right approach
  • Practical experience deploying agentic AI and traditional LLM-based applications
  • Comfortable looking beyond AI agents/LLMs to workflow automation, ML, optimization or standard software when better suited
  • Genuine interest in connecting technology to measurable business outcomes
  • Nice to have: industrial/production exposure, prompt engineering, RAG, orchestration frameworks, MLOps fundamentals, ability to communicate results to non-technical audiences
  • Fluent in English; French is a plus 

Benefits

  • Start: ASAP
  • Workload: 20-40% 
  • Work location: Remote acceptable; occasional on-site visits



Salary: 35+/h

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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