Lediga jobb Baronit AB i Göteborg

About Baronit:
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Airline, Fintech, Healthcare, Retail, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for an experienced Machine Learning Engineer to join our team.
Key Responsibilities:
Establish MLOps best practices and patterns for scalable ML deployment.
Design and build reproducible ML pipelines and model-serving infrastructure.
Manage and automate CI/CD for ML using GitHub Actions or Azure DevOps.
Operate in cloud-first environments (GCP, Azure, AWS), using tools like Vertex AI, DBT, Airflow, or Kubeflow.
Implement observability (model monitoring, drift detection) and infrastructure-as-code (Terraform, Helm).
Collaborate with Data Scientists, Engineers, and Analysts to move models from notebooks to production.
Ensure ML workflows align with data governance, security, and compliance standards.
Contribute to LLM-based model serving and fine-tuning pipelines where applicable.

Ideal candidate profile:
Academic degree in Computer Science, Engineering, or a related field.
7+ years of experience in Software Development/DevOps or related field.
4+ years of experience in ML engineering or MLOps in production settings.
Proficient in Python (OOP, testing, clean code, package management).
Experienced in cloud platforms - GCP, Azure, AWS.
Experienced with AWS services for ML deployment and infrastructure management, including SageMaker, CloudWatch, and IAM.
Experience developing RESTful APIs using FastAPI for model serving and inference endpoints, including integration with CI/CD and auth middleware.
Hands-on with CI/CD pipelines, Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, ArgoCD, etc.), MLFlow, DBT, and Airflow.
Experience in monitoring/observability strategies for production ML systems, including latency tracking, drift detection, and model version health using Prometheus, Grafana, or Vertex AI Model Monitoring.
Strong skills in , data modeling, and scalable data pipelines.
Able to work in agile, cross-functional teams with clear communication and ownership mindset.
Strong analytical problem-solving skills and love for clean, maintainable systems.
Curious, experimental, and fast learner with excellent communication skills in English.
Experience with large language models and LLMOps pipelines is a plus.
Working knowledge aligned with GCP/AWS ML certification standards (Vertex AI, IAM, Dataflow) is a plus.

In addition to exciting projects, we also offer:
Flexible salary model – choose between a fixed salary or a revenue-based model where you receive X% of your client rate, with full transparency
Technical forums for continuous learning and knowledge sharing
Social activities to stay connected and engaged
Annual offsite conference for team bonding and inspiration
And above all – a great team spirit and a focus on enjoying the journey together Visa mindre

About Baronit:
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg and are now looking for a Software Engineer to join one of our clients. In this role, you will take on responsibility for a critical traceability system that ensures compliance, quality, and efficiency throughout the software development lifecycle. You will both maintain and evolve existing tools, while also being part of shaping future solutions together with cross-functional teams.
Key Responsibilities:
Take ownership of a core traceability tool, ensuring its stability and continuous improvement.
Drive new feature development and provide support to users through training and documentation.
Contribute to the design of future systems and evaluate new methods and technologies.
Play an active role in release processes, ensuring compliance and supporting audits.

Requirements:
Master’s degree or Ph. D. in Computer Science, Software Engineering, Systems Engineering, or related field (or equivalent experience).
Proven experience in software/tool development (Python or similar).
Knowledge of traceability systems, requirement management, and software process design.
Experience in release management workflows (e.g., Git, CI/CD pipelines, version control).
Strong programming skills in Python (preferred), C++ or similar languages.
Understanding of software architecture and system design principles.
Strong analytical, problem-solving, and documentation skills.
Effective communicator with a collaborative mindset and attention to detail.

In addition to exciting projects, we also offer:
Flexible salary model
Technical forums for continuous learning and knowledge sharing
Social activities to stay connected and engaged
Annual offsite conference for team bonding and inspiration
And above all – a great team spirit and a focus on enjoying the journey together Visa mindre

About Baronit:
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities.
We are an IT consultancy company based in Gothenburg and are now looking for a Python/DevOps Engineer for our client to join their Release Automation team. The role focuses on building reliable data pipelines, automating reporting flows, and delivering visual insights that support efficient release management.
Key Responsibilities:
Extend and maintain Python scripts for data integration and automation.
Collect and aggregate data from multiple sources (databases, APIs, files, Jira, Artifactory, Elasticsearch, etc.).
Develop release reports and evidence from requirement specifications.
Automate the generation of qualification, KPI, and traceability reports.
Format, visualize, and publish data using charts, dashboards, and spreadsheets.
Integrate and automate release tasks into CI/CD pipelines (Jenkins, GoCD).
Ensure traceability, reliability, and quality of release data.
Collaborate with internal and external stakeholders to improve automation and visualization processes.

Requirements:
Master’s degree or Ph. D. in Computer Science, Software Engineering, Systems Engineering, or related field (or equivalent experience).
Strong Python programming skills for data processing and automation.
Experience with requirement management and working towards specifications.
Solid background in data visualization (charts, dashboards, Excel/Google Sheets).
Familiarity with CI/CD toolchains (e.g., Jenkins, GoCD).
Advanced English, both written and spoken.



Nice-to-Have:
and relational database querying.
Experience with Elasticsearch, Grafana, or Kibana.
Familiarity with SystemWeaver for requirements and traceability.
Ability to design and maintain reusable Python modules.
Front-end/web dashboard development experience.



Why Join Baronit?
Be part of a growing consultancy that values innovation, collaboration, and technical excellence.
Work on exciting assignments with industry-leading clients.
Flexible work environment with a hybrid setup in Gothenburg. Visa mindre

About Baronit:
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Airline, Fintech, Healthcare, Retail, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for an experienced AI Engineer to join our team.
Key Responsibilities:
Build and deploy LLM-powered agents for business process automation (e.g., using LangChain, AutoGen, OpenAI).
Implement Retrieval-Augmented Generation (RAG) pipelines integrating with internal knowledge sources (e.g., Confluence, Google Drive).
Develop multi-step reasoning chains, function calling, and agent memory for complex workflows.
Integrate agents with third-party APIs (Salesforce, GitHub, Jira, Slack, etc.).
Define best practices around prompt engineering, tool usage, and secure API communication.
Collaborate with cross-functional teams to understand and prioritize automation opportunities.
Track AI reliability, hallucination risks, and ethical use across deployed solutions.
Design evaluation strategies for agent performance, reliability, and business impact.
Support fine-tuning or embedding optimization to improve agent accuracy and task alignment.

Ideal candidate profile:
Academic degree in Computer Science, Engineering, or a related field.
7+ years of experience in Software Development/DevOps or related field.
Strong software engineering background- Python a must; experience with Bash, JavaScript or Golang is a plus.
Hands-on experience with LLM frameworks (LangChain, LlamaIndex) and APIs (OpenAI, Gemini, Claude).
Proficient in integrating external APIs using REST/GraphQL and managing agent workflows.
Comfortable with cloud platforms (preferably GCP/Vertex AI or Azure OpenAI) and containerized environments.
Experience with RAG, semantic search, vector databases (e.g., Pinecone, FAISS), and prompt templating.
Strong understanding of security, privacy, and responsible AI practices.
Curious, experimental, and fast learner with excellent communication skills in English.
Familiarity with orchestration frameworks (e.g., CrewAI, MetaGPT, AutoGen) is a strong advantage.

In addition to exciting projects, we also offer:
Flexible salary model – choose between a fixed salary or a revenue-based model where you receive X% of your client rate, with full transparency
Technical forums for continuous learning and knowledge sharing
Social activities to stay connected and engaged
Annual offsite conference for team bonding and inspiration
And above all – a great team spirit and a focus on enjoying the journey together Visa mindre

Shaping the Future with Brilliant Minds
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for experienced Data Engineers to join our client’s team. This role involves working closely with our client’s cross-functional teams to deliver data-driven, scalable solutions using modern cloud platforms, advanced data pipelines, and cutting-edge machine learning techniques.
Here's what we’re looking for in an ideal candidate:
Academic degree in Computer Science, Engineering, or a related field.
6+ years of experience in Data Engineering or related fields.
Design, develop, and maintain scalable data pipelines using Databricks to support data ingestion, transformation, and loading (ETL/ELT) processes.
Manage the full lifecycle of data products, from ETL processes to deployment in production environments.
Expertise in Python for data manipulation and analysis, including libraries like Pandas, NumPy, Scikit-Learn, SciPy and TensorFlow.
Proven experience with Cloud Platforms such as AWS, Azure, or GCP for data engineering and storage and related data services.
Strong understanding of ETL processes and tools like Apache Spark, Apache Kafka, Airflow, Hadoop DBT, Fivetran, Beam.
Experience with data processing frameworks like Beam, Dataproc, Spark, Hive, Flink and BigQuery.
Experience with CI/CD pipelines for data workflows, using tools like Jenkins, Git, Terraform, Docker, Kubernetes, Tekton and ArgoCD.
Experience with like Postgre, My, Server and No databases for querying and data manipulation.
Data visualization skills using tools such as Power BI, Tableau, QlikView/QlikSense, Streamlit, Grafana, Looker or Python-based visualization libraries.
Experience in machine learning techniques and AI product development.
Fluent in English both written and verbal, Swedish is a plus. Visa mindre

Är du en driven och affärsinriktad person med ett etablerat kontaktnät inom Göteborgs techsektor? Har du gedigen erfarenhet inom IT-konsultbranchen, sälj och rekrytering? Vill du vara en nyckelspelare i ett snabbt växande bolag inom mjukvaruutveckling? Då kan du vara den vi söker!
Om Baronit:
Baronit är ett Göteborgs-baserat konsultföretag som specialiserar sig på mjukvaruutveckling. Vi förenar de bästa tech-talangerna med företag som behöver innovativa lösningar. Våra seniora konsulter levererar högkvalitativa resultat för att säkerställa kundernas framgång och tillväxt.
Om rollen:
Som Affärsdriven Konsultchef på Baronit kommer du att spela en avgörande roll i att utveckla affärerna genom att skapa och förvalta starka, långsiktiga kundrelationer. Du kommer att ansvara för att matcha rätt kompetens med rätt projekt, samt rekrytera och leda vårt team av konsulter. Rollen erbjuder stor möjlighet att påverka företagets tillväxt och din egen karriärutveckling.
Dina huvudsakliga arbetsuppgifter:
Rekrytering och personalansvar för våra konsulter inom mjukvaruutveckling.
Bygga och utveckla relationer med både nya och befintliga kunder.
Driva affärer från start till avslut, med fokus på att leverera hög kundnöjdhet.
Delta i företagets strategiska utveckling och tillväxt i Göteborg.

Vi söker dig som:
Har en högskoleutbildning motsvarande högskoleingenjör eller civilingenjör från inom relevant område, alternativt motsvarande kunskap från annan erfarenhet.
Har ett starkt och etablerat kontaktnät inom Göteborgs techbransch.
Har flera års erfarenhet som konsultchef, affärsutvecklare eller i en liknande roll.
Är affärsorienterad, lösningsfokuserad och har ett genuint intresse för affärsrelationer, teknik och mjukvaruutveckling.
Har ett entreprenöriellt driv och trivs i en dynamisk miljö där du får vara med och påverka.
Är resultatinriktad och har en förmåga att omvandla affärsmöjligheter till framgångsrika samarbeten.

Vad vi erbjuder:
En central roll i ett växande företag där du har stor möjlighet att påverka både verksamheten och din egen utveckling.
Ett stimulerande och dynamiskt arbetsklimat där dina idéer och initiativ värderas högt.
Möjligheter till professionell utveckling och att skapa långsiktiga affärsrelationer i en stark marknad.
Konkurrenskraftiga villkor och stor frihet att forma din roll.

Ansökan:
Är detta en roll som passar dig? Skicka in din ansökan redan idag! Vid frågor, vänligen kontakta oss på [email protected] så återkommer vi till dig.
Vänligen skicka ditt CV och ett personligt brev där du beskriver hur din erfarenhet, passion och kompetens är precis vad vi behöver för denna nyckelposition. Visa mindre

About Baronit:
Shaping the Future with Brilliant Minds
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for an experienced AI/ML Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and optimizing advanced AI and machine learning solutions, ensuring their seamless deployment in real-world applications. You will work at the intersection of software engineering, machine learning, and AI architecture, with a focus on creating scalable, high-performance systems. The role also requires expertise in MLOps to ensure efficient pipeline integration and model deployment.
Here's what we’re looking for in an ideal candidate:
Academic degree in Computer Science, Engineering, or a related field.
8+ years of experience in related fields.
Develop and Deploy AI/ML Models: Design, build, and deploy machine learning models and AI systems using frameworks like TensorFlow, PyTorch, and OpenAI. Implement advanced generative AI techniques and other state-of-the-art models, ensuring performance at scale.
Software Engineering: Apply software engineering principles, including clean coding practices, CI/CD, and containerization for deploying AI/ML systems using languages such as Python, Scala, Java, and C++.
Data Processing and Pipelines: Build and maintain efficient data pipelines for large-scale datasets, leveraging ETL processes and batch or real-time streaming data. Utilize tools such as Google Cloud Platform, Azure ML, and other cloud platforms for large-scale AI/ML implementations.
MLOps and DevOps Integration: Lead the implementation of MLOps practices, automating model training, retraining, and deployment workflows using Azure DevOps, CI/CD, and version control tools like Git. Ensure scalability, security, and governance in machine learning pipelines.
Model Monitoring and Optimization: Monitor models in production environments for drift and degradation. Implement retraining and versioning strategies for continuous improvement.
Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to translate business requirements into technical solutions.
Experience with Agile/Scrum methodologies and working in a fast-paced, collaborative environment.
Strong communication, analytical and problem-solving skills, with a focus on continuous improvement and innovation.
Fluent in English both written and verbal.

Required Skills:
Proficiency in Python, Scala, Java, and C++.
Deep knowledge of TensorFlow, PyTorch, OpenAI, and Transformer models. Experience in building and deploying generative AI models is preferred.
Strong experience with cloud platforms like Google Cloud Platform, Azure ML, or similar environments.
Hands-on experience with MLOps, including CI/CD, pipeline automation, model retraining, and version control tools.
Expertise in building large-scale data infrastructure, pipelines, and ETL systems.
Knowledge of AI/ML governance frameworks, model monitoring practices, and handling model drift.
Experience with Docker, Kubernetes, and IaC.
Hands-on experience with containerization and orchestrating real-time systems.

Preferred Skills:
Azure or AWS Certified.
Experienced in Azure DevOps, ADF, metadata-driven pipelines, Azure Data bricks, ARM templates, and Azure Functions.
Automotive, Healthcare, E-commerce, or Fintech.
Battery systems
IoC
IoT sensor data for predictive modeling or connected vehicle solutions Visa mindre

About Baronit:
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for an experienced Fullstack Engineer to join our dynamic team. This role requires a strong foundation in both backend and frontend development, coupled with extensive experience in cloud platforms and DevOps practices. You will collaborate closely with cross-functional teams to deliver scalable, reliable solutions that align with our clients’ goals.
Key Responsibilities:
Design, build, and maintain robust b backend systems and frontend applications (JavaScript frameworks such as React or Angular), ensuring high performance and scalability.
Optimize and manage cloud infrastructure, focusing on Azure/AWS, ensuring high availability, performance, and cost-efficiency.
Deploy, manage, and monitor containerized applications using Docker and Kubernetes.
Develop and manage scalable CI/CD pipelines using Azure DevOps, Git, Jenkins, or other similar tools to automate software delivery and deployment processes.
Work with both and No databases, such as Postgre, Server, and MongoDB, ensuring efficient data storage and retrieval.
Develop and integrate REST APIs and work with Event-based systems such as Kafka or RabbitMQ to ensure seamless data flow and accessibility.
Utilize and design cloud-native architectures leveraging Microservices and event-driven systems for distributed computing.
Implement and maintain observability solutions using Grafana, Prometheus, and Azure Monitor to ensure system health and performance.
Work within Agile/Scrum environments, closely collaborating with cross-functional teams to deliver high-quality products.
Troubleshoot and resolve complex issues in production and pre-production environments, ensuring smooth and efficient operation.

Requirements:
Academic degree in Computer Science, Engineering, or a related field.
7+ years of experience in full-stack development or similar.
Proficiency in

Backend technologies such as C#, .NET, and ASP.NET Core
Frontend frameworks such as React or Angular
CI/CD automation with Azure DevOps, Git, and Jenkins
Cloud platforms like Azure or AWS for infrastructure management
Containerization and orchestration tools like Docker and Kubernetes
Cloud-native architectures, leveraging Kubernetes and microservices.
Infrastructure as Code (IaC) tools such as Terraform, Bicep, or Ansible
Monitoring tools such as Grafana, ElasticStack, and Azure Monitor for observability and performance monitoring
and No databases such as Postgre, MongoDB, and Server
Experience with Agile/Scrum methodologies and working in a fast-paced, collaborative environment.
Excellent communication and problem-solving skills, with a focus on continuous improvement and innovation.
Fluent in English both written and verbal
Preferred Qualifications:
Experience with Azure Functions, Logic Apps, and other serverless architectures.
Familiarity with Site Reliability Engineering (SRE) principles and DevOps culture.
Hands-on experience working in Unix/Linux environments. Visa mindre

Är du en driven och affärsinriktad person med ett etablerat kontaktnät inom Göteborgs techsektor? Vill du vara en nyckelspelare i ett snabbt växande bolag inom mjukvaruutveckling? Då kan du vara den vi söker!
Om Baronit:
Baronit är ett Göteborgs-baserat konsultföretag som specialiserar sig på mjukvaruutveckling. Vi förenar de bästa tech-talangerna med företag som behöver innovativa lösningar. Våra seniora konsulter levererar högkvalitativa resultat för att säkerställa kundernas framgång och tillväxt.
Om rollen:
Som Affärsdriven Konsultchef på Baronit kommer du att spela en avgörande roll i att utveckla affärerna genom att skapa och förvalta starka, långsiktiga kundrelationer. Du kommer att ansvara för att matcha rätt kompetens med rätt projekt, samt rekrytera och leda vårt team av konsulter. Rollen erbjuder stor möjlighet att påverka företagets tillväxt och din egen karriärutveckling.
Dina huvudsakliga arbetsuppgifter:
Rekrytering och personalansvar för våra konsulter inom mjukvaruutveckling.
Bygga och utveckla relationer med både nya och befintliga kunder.
Driva affärer från start till avslut, med fokus på att leverera hög kundnöjdhet.
Delta i företagets strategiska utveckling och tillväxt i Göteborg.

Vi söker dig som:
Har en högskoleutbildning motsvarande högskoleingenjör eller civilingenjör från inom relevant område, alternativt motsvarande kunskap från annan erfarenhet.
Har ett starkt och etablerat kontaktnät inom Göteborgs techbransch.
Har flera års erfarenhet som konsultchef, affärsutvecklare eller i en liknande roll.
Är affärsorienterad, lösningsfokuserad och har ett genuint intresse för affärsrelationer, teknik och mjukvaruutveckling.
Har ett entreprenöriellt driv och trivs i en dynamisk miljö där du får vara med och påverka.
Är resultatinriktad och har en förmåga att omvandla affärsmöjligheter till framgångsrika samarbeten.

Vad vi erbjuder:
En central roll i ett växande företag där du har stor möjlighet att påverka både verksamheten och din egen utveckling.
Ett stimulerande och dynamiskt arbetsklimat där dina idéer och initiativ värderas högt.
Möjligheter till professionell utveckling och att skapa långsiktiga affärsrelationer i en stark marknad.
Konkurrenskraftiga villkor och stor frihet att forma din roll.

Ansökan:
Är detta en roll som passar dig? Skicka in din ansökan redan idag! Vid frågor, vänligen kontakta oss på [email protected] så återkommer vi till dig.
Vänligen skicka ditt CV och ett personligt brev där du beskriver hur din erfarenhet, passion och kompetens är precis vad vi behöver för denna nyckelposition. Visa mindre

Shaping the Future with Brilliant Minds
At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.
We are an IT consultancy company based in Gothenburg looking for an experienced Data Engineer to join our client’s team. This role involves working closely with our client’s cross-functional teams to deliver data-driven, scalable solutions using modern cloud platforms, advanced data pipelines, and cutting-edge machine learning techniques.
Here's what we’re looking for in an ideal candidate:
Academic degree in Computer Science, Engineering, or a related field.
6+ years of experience in Data Engineering or related fields.
Expertise in Python for data manipulation and analysis, including libraries like Pandas, NumPy, Scikit-Learn, SciPy and TensorFlow.
Proven experience with Cloud Platforms such as AWS, Azure, or GCP for data engineering and storage and related data services.
Strong understanding of ETL processes and tools like Apache Spark, Apache Kafka, Airflow, Hadoop DBT, Fivetran, Beam.
Experience with data processing frameworks like Beam, Dataproc, Spark, Hive, Flink and BigQuery.
Experience with CI/CD pipelines for data workflows, using tools like Jenkins, Git, Terraform, Docker, Kubernetes, Tekton and ArgoCD.
Experience with like Postgre, My, Server and No databases for querying and data manipulation.
Data visualization skills using tools such as Power BI, Tableau, QlikView/QlikSense, Streamlit, Grafana, Looker or Python-based visualization libraries.
Experience with Agile/Scrum methodologies and working in a fast-paced, collaborative environment.
Strong communication, analytical and problem-solving skills, with a focus on continuous improvement and innovation.
Experience in machine learning techniques and AI product development is a plus. Visa mindre