Rethinking Parking With AI

ParkingAid AB

As our Backend Wizard of Urban Data, you’ll be the architect behind the scenes powering Citylytics’ AI-driven platform. You’ll own the design, development, and maintenance of our backend services—while also rolling up your sleeves to help with frontend features when the team needs extra magic.What You’ll Do• Build &amp; Scale APIs: Design, implement, and maintain RESTful/GraphQL APIs in TypeScript (Node.js), ensuring high performance, reliability, and security.• Data Pipelines &amp; Processing: Develop ETL workflows to ingest open mobility data and real-time traffic streams; optimize data storage and retrieval in Firebase/Firestore and other databases.• AI &amp; Analytics Integration: Collaborate with our ML engineers to embed predictive parking-availability models and urban-analytics dashboards.• Full-Stack Collaboration: Partner with frontend developers to wire up new features—jump into React/React Native code when we need extra hands translating data into polished user experiences.• DevOps &amp; CI/CD: Own the deployment pipeline (GitHub Actions, serverless functions) and help maintain monitoring, logging, and automated tests.• Mentorship &amp; Best Practices: Advocate for clean code, strong typing, thorough tests, and documentation. What We’re Looking For• Proven Backend Expertise: 4+ years building production services in Node.js/TypeScript (or similar stacks).• Data-Driven Mindset: Comfortable with databases (Firestore, SQL/NoSQL), data modeling, and pipeline orchestration.• Startup Versatility: Eager to tackle frontend tasks in React or React Native as needed—no rigid “silo” mentality.• Cloud &amp; Serverless: Hands-on experience with serverless architecture (Cloud Functions, GCP, Etc).• Collaborative Spirit: Excellent communicator who thrives in a small, cross-functional team.• Bonus Points: Prior experience with AI/ML integrations, mapping libraries, or smart-city applications.Why You’ll Love It HereYou won’t just write code—you’ll shape the future of urban mobility. Join us in delivering real impact to drivers, cities, and the planet, all while growing your skills in a fast-moving, supportive startup.

Backend Wizard for AI-Driven Parking Magic

Stockholm

Backend

AI/ML

Python developer

Python

Machine Learning

10-19

Curious, innovative AI consulting company

Codon Consulting AB

Codon Consulting was founded in 2019 with the aim to offer the very highest quality of data science and ML consultancy to all types of clients. We are now looking for an experienced and motivated AI/ML engineer to further strengthen our existing team. The ideal applicant is a customer-centered and goal-oriented person who can take on abstract real-world challenges and design, develop, deploy and deliver the optimal solution.As a consultant you will be exposed to a wide range of projects. No matter your seniority level, you will have joint or main responsibility for your projects and are expected to participate in or take ownership of ideation and final delivery. This does not mean that you are left on your own. We are a team and we complement and support one another. It does, however, mean that we value your communication skills and your ability to articulate when you face a problem or obstacle as much as your technical skills. You also need to be an eager learner. With the field rapidly evolving, all of our consultants work with new techniques and develop professionally, and there will be time for you to do so as well. We will make sure that you feel supported to do so at Codon.As we are strong believers in teamwork, we would like you to work on-site a majority of the time. In exchange we offer regular after-works, kickoffs and retreats, as well as weekly Friday seminars and internal learning sessions.

ML/AI engineer (Tech)

Software Engineering

Computer Vision

Azure

PyTorch

Docker

APIs

ChatGPT

ML/AI engineer

100-499

"Bringing peace of mind to AP Automation"

Rillion AB

Rillion is seeking a skilled AI Engineer to join our innovative Data/AI team. In this role, you’ll be pivotal in developing machine learning models that drive AI-powered AP (Accounts Payable) automation and enhance our products. Our team consists of data engineers, an AI/ML lead, a data lead, a UX designer, a product manager, and software engineers. Together, we collaborate across the entire product lifecycle—from brainstorming and design to implementation—unlocking AI’s potential in AP automation. If you’re an experienced AI/ML developer who thrives in a dynamic environment, we’d love to have you on board!Responsibilities:The AI Engineer plays a key role in developing and implementing AI technologies into our SaaS products, with a focus on technical execution rather than leadership. This role is critical in building, integrating, and optimizing AI/ML solutions to meet product goals.<ul><li>Develop and implement scalable AI/ML models that support product objectives.</li></ul><ul><li>Collaborate closely with product, engineering, and data teams to integrate AI features into our products.</li></ul><ul><li>Stay up-to-date with emerging AI technologies and contribute to experimentation and innovation.</li></ul><ul><li>Build and maintain effective AI/ML pipelines and deployment infrastructure.</li></ul>What You'll Bring:<ul><li>2+ years hands-on experience with putting self-developed machine learning solutions into a production environment.</li></ul><ul><li>High proficiency in Python and AI/ML frameworks, i.e. Pytorch.</li></ul><ul><li>Familiarity with working with containers in a cloud environment like Azure, AWS, and/or GCP, with experience scaling AI solutions in production.</li></ul><ul><li>A curious mindset with strong collaboration skills who is comfortable in environments without clear-cut processes.</li></ul><ul><li>Master's degree in engineering or similar.</li></ul>Bonus skills:<ul><li>Cloud Ops and IaC tools such as Terraform.</li></ul><ul><li>MLOps best practices and tools like Databricks.</li></ul><ul><li>Knowledge of working with visually rich documents (VRDs) and generative AI.</li></ul><ul><li>Experience working with RAG, LLM evaluation, API-driven microservices, cache management and production-level software.</li></ul>What we offer:<ul><li>Opportunity to work in a dynamic growth company</li></ul><ul><li>Talented colleagues ready to support the success in your career path</li></ul><ul><li>Social events with your colleagues (breakfast, candy-time, afterwork etc.)</li></ul><ul><li>A collection of different benefits, including a generous pension and insurance package</li></ul><ul><li>Hybrid working model, 2 days per week in the office</li></ul><ul><li>Come and enjoy our beautiful office in central Stockholm (on the 14th floor, with amazing views)</li></ul>The recruitment process:We review applications and invite for interviews continuously. A background check will be conducted on final candidates, pre-employment. If you have any questions regarding the role, please contact recruiter Victoria Stjernström at <a target="_blank" href="mailto:victoria.stjernstrom@rillion.com">victoria.stjernstrom@rillion.com</a>

AI Engineer

Databricks

Terraform

Future Memories - en digital studio där strategisk design och teknik formar morgondagens digitala tjänster

Future Memories

Data & AI Engineer

Göteborg

Tensorflow

Spark

Snowflake

Kafka

BigQuery

Airflow

20-49

We optimize, automate and predict anything with tailored AI solutions

Tenfifty AB

Things are going great for Tenfifty and we want to welcome more smart people to our experienced technology team.In addition to a pleasant and humble atmosphere, we offer: - Good compensations. - The world's best customers. - Competent colleagues and a work environment where it is as natural to ask for as it is to offer help. - Carefully selected assignments, we only do projects that we believe in. - A solid structure for knowledge sharing. - Flexibility, freedom and independence. - Focus on caring for the team through fun collegial activities. - Very interesting and developing projects. - Respect for the balance between work and private life.You will be working in small teams developing pilots, projects and services for our customers, hosted on Linux using Kubernetes and Google Cloud Platform.The majority of our projects are related to artificial intelligence, machine learning and/or data science, while some are related to web crawling.For this position the actual Python programming is the important part and therefore you need to have long and proven experience from developing solutions based on Python.It is preferable that you speak Swedish and live in the Gothenburg region, but if you impress us in other areas, we are flexible.

Senior Python programmer

Kubernetes

Scikit-Learn

Databases

Statistics

Jupyter

Linux

Google Cloud Platform

Real-time sports tracking

PlayReplay

MLops (Data)

MLops (ITOps)

DevOps

Senior Machine Learning Engineer

We build energy software & platforms

helicon technologies AB

About the role:
* As a Data Science consultant, you are expected to have one or several assignments for our clients, be part of the Helicon team, and work closely with developers
* Your main task will be to build and maintain machine learning models and pipelines for our clients
* The focus will be models for time series forecasting, as part of a bigger system/application: build and test new models ranging from basic statistical models to cutting-edge deep learning models
* Evaluate and maintain models throughout their life cycle
* Be an integral part of the data science team, be a team player, and have a passion for building and sharing knowledge, especially knowledge that adds value to our clients

What we are looking for:
* Background from a quantitative field, such as Mathematics, Physics, Computer Science, Engineering etc
* +3 years of experience as a Data Scientist or Machine Learning Engineer, including experience in Machine Learning and Deep Learning modeling
* +3 years of experience working with the Python data science stack (Pandas, Dask Numpy, PyTorch, Keras, Tensorflow, Pyspark/Spark)
* Experience working with time series analysis and forecasting
* Knowledge of, and experience with, building pipelines for machine learning models
* Experience with developing and maintaining machine learning models
* Experience using different databases and/or building data engineering pipelines
* Experience with developing infrastructure and/or applications, preferably in relation to machine learning (MLOps)
* Based in Stockholm with a valid work permit

Bonus;
* Experience working in the infrastructure in the energy field
* Previous experience as a consultant
* Experience working with CI/CD pipelines
* Experience using microservices

Data Scientist

Data science

Modeling

Time Series Analysis

MLops

Cloud Computing

Vi arbetar för att ge individer och organisationer en edge genom att framgångsrikt kombinera affär, analys och data.

Data Edge AB

Mangementkonsult analytics

Business transformation

Deep Learning

Business Intelligence

Analytics

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