AI Solution Engineer

Predli AB; Stockholms kommun; Hybride; SEK 700 000 - 950 000; Plein temps

Avantages offerts par ce poste

Hybrid work setup

Travel opportunities

Professional development

Résumé du poste

Predli AB is seeking an AI Solution Engineer to shape the future of applied AI across client projects, internal innovation, and the Predli Studio platform. You’ll work hands-on with cutting-edge AI tech and join a small, multidisciplinary team delivering real, scalable AI outcomes.

The role spans from concept to deployment, emphasizing rapid learning, fast iteration, and direct impact. You’ll discuss product direction with stakeholders and contribute to both product development and R&D

Qualifications

• Degree in Machine Learning, Computer Science, Data Science, or related field
• Solid understanding of core ML principles
• Proficient in Python and TypeScript
• Familiar with PyTorch, TensorFlow, or Scikit‑learn
• Experience with databases, APIs, and data pipelines
• Familiar with MLOps concepts and cloud environments
• Strong communication with clients and team

Responsabilités

• Design and build AI solutions that create real business value by applying pre-trained models in new and creative ways, especially with language models
• Build and extend features in Predli Studio that push AI boundaries and empower users
• Develop scalable APIs, backend services, and data pipelines for production-ready AI systems
• Work with cloud infrastructure like AWS, GCP, and Azure, and container technologies like Docker and Kubernetes
• Collaborate with clients and non-technical stakeholders to translate ideas into working AI solutions
• Explore and experiment with state-of-the-art AI tools and frameworks via internal innovation projects
• Participate in knowledge-sharing sessions and code reviews to exchange insights and improve the team’s expertise

Connaissances

Python

TypeScript

PyTorch

TensorFlow

Scikit-learn

APIs

Data pipelines

MLOps

Cloud platforms

Docker

Kubernetes

Databases

Formation

Machine Learning/CS degree

Outils

Docker

Kubernetes

AWS

GCP

Azure

Description du poste

We're looking for an AI Solution Engineer who wants to help shape the future of Predli and applied AI. You'll work on client projects, internal innovation, and our platform Predli Studio, building real-world AI solutions that drive progress and impact.

If you're curious, collaborative, and excited to learn from a team that's been ahead of the AI curve for years, this is the place for you.

As an AI Solution Engineer, you'll work hands-on with cutting‑edge AI technologies and be involved in projects from concept to deployment. You'll collaborate with a team of curious engineers, data scientists, and strategists who love sharing ideas, learning from each other, and turning complex problems into elegant solutions.

Because we're a small and multidisciplinary team, you'll get to work across the full AI lifecycle. One day you might design a prototype for a client, the next you're improving model performance or developing new functionality for Predli Studio. You'll learn fast, move fast, and see the direct impact of your work.

What You'll Do

• Design and build AI solutions that create real business value by applying pre‑trained models in new and creative ways, especially within the rapidly evolving field of language models.
• Build and extend features in Predli Studio that push the boundaries of what's possible with AI, creating tools that empower others and deliver real wow moments.
• Develop scalable APIs, backend services, and data pipelines for production‑ready AI systems.
• Work with cloud infrastructure like AWS, GCP, and Azure, as well as container technologies such as Docker and Kubernetes.
• Collaborate with clients and non‑technical stakeholders to translate ideas into working AI solutions.
• Explore and experiment with state‑of‑the‑art AI tools and frameworks through internal innovation projects, keeping your skills sharp and your work at the forefront of the field.
• Participate in regular knowledge‑sharing sessions and code reviews to exchange insights and improve our collective expertise.

Who You Are

• A curious and hands‑on engineer who loves solving complex problems and turning ideas into real solutions.
• Confident in taking initiative, driving tasks forward independently, and owning your work from start to finish.
• Comfortable communicating directly with clients, explaining technical concepts clearly, and contributing to discussions about product direction and priorities.
• Hold a degree in Machine Learning, Computer Science, Data Science, or a related field, and have a solid understanding of core ML principles.
• Skilled in programming across modern languages such as Python and TypeScript, and familiar with frameworks like PyTorch, TensorFlow, or Scikit‑learn.
• Experienced working with databases, APIs, and data pipelines.
• Familiar with MLOps concepts, automation, and cloud environments.
• Excited to work in a small, high‑impact team where collaboration and fast iteration are part of daily life.
• Open, communicative, and eager to both learn from and share knowledge with your peers.
• Based in New Delhi or Stockholm, fluent in English.

Why Join Predli

• Be part of a tight‑knit team where your ideas matter and your work creates real impact.
• Work across consulting, product development, and applied research with exposure to diverse technologies and industries.
• Grow in a collaborative environment that values creativity, shared ownership, and learning by doing.
• Contribute to Predli Studio, a platform that redefines how organizations build and deploy AI.
• Take part in internal R&D projects that explore the future of intelligent systems.Join a culture that values curiosity, openness, and continuous learning.
• Enjoy a flexible hybrid setup, global collaboration, and opportunities for professional development and travel.
• Competitive compensation with room for growth as you develop in the role.

Our Culture

We believe the best ideas happen when curious people learn from each other. Our culture is built on trust, transparency, and shared growth. We celebrate collaboration and experimentation, and we're intentional about creating an environment where knowledge flows freely.

We value ownership over hierarchy, and because we're small, everyone who joins us helps shape who we are and where we're going next.