Talent Venture Studios

Talent Venture Studios AB

Who we areWe’re a stealth startup disrupting an entire industry, led by founders with proven expertise in product development and leadership - together with passionate engineers who have built state-of-the-art solutions for organizations of all sizes, with and without AI. Our hub is in central Stockholm, where we combine the energy of in-person collaboration with the flexibility of hybrid work.The opportunityWe are looking for a driven AI/ML Engineer to join our team. This role blends development of GenAI powered features, evaluation, search algorithms and data ingestion pipelines. You’ll help shape how we integrate generative AI into real-world applications, delivering a value-creating AI first solution to end-users in short iterative feedback loops. You’ll be a key contributor, working closely with product, design, backend engineers to realize the future of our AI-powered platform. You’ll employ Metrics Driven Development (MDD) and evaluation methodology to set up evaluation pipelines, helping us realize production-strength GenAI features covering both Agentic patterns and RAG. The focus is initially on utilizing GenAI solutions for the AI features, which will expand over time to incorporate ML solutions. You’ll have the opportunity to greatly influence both our GenAI and ML stack.Key Responsibilities- Design and build Gen AI features, covering both Agentic patterns and RAG. You’ll contribute with code to our backend platform. - Design and build evaluation pipelines and metrics for public customer facing AI solutions.- Design and build data ingestion pipelines from various sources (APIs, databases, files, customer systems)- Design and build search algorithms, e.g., vector, semantic, graph, to support our AI features.- Implement data quality monitoring and validation frameworks- Integrate AI services and APIs into data processing workflows, including LLMs and vector embeddings- Support both product data processing and internal business analytics as we scale- Collaborate with other engineers on backend integration and system architecture- Evaluate when GenAI or ML solutions are appropriate or whether simpler approaches suffice.- Contribute to technical decisions about our evolving data stack and infrastructure- Create and maintain data models optimized for both ML workloads and business analytics- Build feature engineering pipelines to support ML model training and inferenceMust-Have Skills- Strong proficiency in Python - Experience with Agentic AI, prompt engineering, tools.- Understanding RAG, search algorithms, vector databases and embedding workflows.- Experience with MDD and Gen AI evaluation using frameworks such as RAGAs or MLFlow.- Experience with the full ML lifecycle.- Experience with both structured and unstructured data- Git proficiency and understanding of CI/CD concepts Copyright, YM I RIGHT AB, 2025. All rights reserved.Nice-to-Have Skills- Experience as code contributor to backend components to a shipped app/service.- Experience with NLP, deep learning and other types of ML models.- Experience with MLOps.- Experience with cloud platforms and their AI services- Experience with graphs, and graph databases- Experience with data monitoring and observability tools- Knowledge of streaming data processing concepts- Experience supporting business intelligence and analytics use casesWhat we offerFrom us you’ll get a rocketship in personal development - challenge and support to accelerate your ambitions even further.

AI/ML Engineer

Stockholm

Data engineering

AI/ML

Agentic AI 

Deep Learning

Business Intelligence

RAGA

Azure

Tablau

Vector

Generative AI

DevOps

Neo4J

Machine Learning

Python

20-49

Experter inom Data Science och AI

Eghed Stockholm AB

<h2>Om eghed</h2>eghed är en expertgrupp med en stark passion för att skapa framtidens AI-lösningar. Vi är ett innovativt team med stort teknikintresse och en entreprenöriell anda som genomsyrar allt vi gör. Genom nära samarbeten med våra partners, både på plats hos kund och internt, utvecklar vi lösningar som inte bara möter dagens behov utan också öppnar dörrar till morgondagens möjligheter.Vi har redan utvecklat egen IP som accelererar våra leveranser, och vi söker ständigt nya sätt att tänja på gränserna för vad som är möjligt.<h2>Om rollen</h2>Vi söker en Senior Data Scientist som delar vår passion för att skapa något nytt och som har modet att utforska outforskade områden. Hos eghed får du möjlighet att vara med och bygga bolaget från grunden, forma våra tekniska lösningar och spela en nyckelroll i vår fortsatta tillväxt.Vi gillar personer som är vana vid att lösa komplexa problem och som trivs i en dynamisk miljö där ingen dag är den andra lik.<h2>Dina ansvarsområden kan inkludera</h2><ul><li>Använda data för att lösa komplexa problem, skapa insikter och stödja beslutsfattande inom organisationer.</li><li>Arbeta i skärningspunkten mellan statistik, programmering och affär, med verktyg som maskininlärning, data mining och prediktiv modellering för att analysera stora datamängder.</li><li>Samla in, rensa och bearbeta data, utveckla och träna algoritmer samt presentera resultat på ett sätt som är begripligt och handlingsbart för intressenter.</li><li>Hjälpa både oss och våra partners att optimera processer, identifiera trender och utveckla datadrivna strategier för tillväxt och innovation.</li></ul><h2>Krav</h2><ul><li>Minst 5 års erfarenhet som Data Scientist.</li><li>Universitetsutbildning inom ett tekniskt och kvantitativt område (t.ex. matematik, fysik, datavetenskap eller liknande).</li><li>Praktisk erfarenhet av minst ett par produktionssatta data science-projekt – från prototyp till driftsättning och kontinuerlig förbättring.</li><li>Goda kunskaper i Python, SQL och Git, samt gedigen erfarenhet av molnplattformar. Djup kunskap om maskininlärningsramverk.</li><li>Stark förståelse för de teoretiska grunderna bakom både klassiska och moderna maskininlärningsmodeller och algoritmer, såsom generaliserade linjära modeller, random forests, ensemblemetoder och djupa neurala nätverk.</li><li>Utmärkta kommunikationsförmågor i både tal och skrift, tekniskt såväl som icke-tekniskt. Stark samarbetsförmåga, god struktur och affärsmässighet.</li></ul><h2>Varför eghed?</h2>På eghed får du inte bara ett jobb – du får möjligheten att vara med på en resa där du kan göra skillnad och skapa verklig förändring. Vi är ett team som värdesätter innovation, samarbete och en hälsosam dos nytänkande.Här får du utrymme att växa både professionellt och personligt, och vi ser fram emot att höra dina idéer och visioner för framtiden.

Senior Data Scientist

Data science

Kubernetes

S3-Lambda

PyTorch

Tensorflow

BigQuery

Snowflake

Keras

Power BI

Docker

Computer Vision

Tableau

REST

Pandas

Databricks

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

Backend

Python developer

10-19

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

Future Memories

Data & AI Engineer

Göteborg

Spark

Kafka

Airflow

Real-time sports tracking

PlayReplay

MLops (Data)

MLops (ITOps)

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

Modeling

Time Series Analysis

MLops

Cloud Computing

Databases

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112 29 Stockholm

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