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TieTalent

Machine Learning Engineer

TieTalent
Sweden · Full-time · Entry

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Growth Leadership | Exec-Search | International Expansion Strategy, Fundraising & Partnerships

Help Build the Future of AI in PropTech

Imagine a world where renting, managing, and living in properties is simple, smart, seamless, and powered by cutting-edge AI. We're making that a reality.

We're transforming the property industry with technology built for humans. From streamlining communication between landlords and tenants to powering predictive insights and automating routine tasks, our platform is already impacting a significant portion of the rental market and we’re just getting started!

We're now investing deeply in AI, and this is your chance to help lead that journey.

The Role: Senior Applied AI Engineer ️

This role is your opportunity to shape the technical direction of our AI initiatives, from ideation and prototyping to production-ready systems that touch thousands of lives daily. You’ll work at the intersection of Machine Learning, NLP, and software engineering, building real-world solutions in Golang and scaling them across our platform.

You be optimizing models and solving problems that redefine how people experience housing.

  • Build and deploy AI-driven features that power intelligent automation and predictive insights
  • Design and implement production-grade ML solutions in Golang
  • Collaborate closely with product, engineering, and design teams to bring applied AI features to life
  • Fine-tune and integrate LLMs and NLP models tailored for specific use cases
  • Push the boundaries of what’s possible with AI in user experience, decision-making, and automation
  • Leverage frameworks like TensorFlow, PyTorch , and modern AI APIs
  • Maintain a strong focus on responsible AI practices, from data privacy to model interpretability
  • Bring a builder mindset: prototype fast, ship smarter, and scale what works
  • Proven experience designing and deploying generative AI or ML models in production
  • Strong hands-on skills in Golang , with fluency in writing maintainable, performant code
  • Experience with LLMs , NLP , and ML pipelines
  • Comfortable working with AI tooling in Python , TensorFlow , PyTorch , etc.
  • Familiar with cloud infrastructure and scalable AI systems (e.g. AWS, GCP)
  • Deep understanding of ML fundamentals: training, evaluation, optimization, and real-world application
  • Enthusiasm for experimentation, rapid iteration, and learning from data
  • A collaborative mindset and clear communication skills, you’re great at sharing knowledge and learning from others
  • Bonus: Experience with AI code assistants, big data processing, or vertical SaaS solutions
  • Frontend : React, TypeScript
  • AI Integration : Custom LLMs, fine-tuning pipelines, retrieval-augmented generation (RAG)
  • Join a mission-driven team reshaping an essential industry
  • Have real ownership and instant impact, our AI powers real-world decisions for thousands of users
  • Work with a collaborative, kind, and ambitious team
  • Get access to cutting-edge tools and the autonomy to shape our AI strategy
  • Enjoy a hybrid culture that values innovation, curiosity, and thoughtful growth
  • Competitive salary, benefits, and professional development support

Let’s build the future of AI in PropTech together!

Apply now and help make intelligent, human-centered technology a reality.

Seniority level

  • Seniority level Mid-Senior level

Employment type

  • Employment type Full-time

Job function

  • Job function Information Technology
  • Industries Software Development, IT Services and IT Consulting, and Housing and Community Development

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Nice-to-have skills

  • AWS
  • GCP
  • PyTorch
  • Python
  • React
  • TensorFlow
  • TypeScript
  • Stockholm County, Sweden

Work experience

  • Fullstack
  • Machine Learning
  • NLP

Languages

  • English

Key Skills

Ranked by relevance

ai machine learning tensorflow pytorch golang prototyping typescript big data python devops react cloud saas aws gcp
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Posted
Jul 27, 2025
Type
Full-time
Level
Entry
Location
Stockholm
Company
TieTalent

Industries

Technology Information Internet

Categories

Engineering Information Technology

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