AI-specialist - Lediga jobb

Vi växer – vill du bygga framtidens IoT och AI med oss?

Nodeledge AB söker en Fullstack-utvecklare En tech-heavy allroundutvecklare som trivs i gränssnittet mellan kod, sensor-data och kundutbildning.

Gillar du att skriva kod som kopplar samman den fysiska världen med digital intelligens? Får du en kick av att se en LoRaWAN- eller IoT-sensor gå från ”offline” till att leverera kritisk realtidsdata i vår IoT-plattform? Vill du dessutom kombinera tung teknisk utveckling med att hjälpa och utbilda de kunder som faktiskt använder systemet? Då är det dig vi letar efter.

Om rollen Vi söker en teknisk mångsysslare och en naturlig spindel i nätet. Du har jobbat några år och trivs lika bra med att gräva ner dig i komplex kod, API:er och databaser som att hålla en engagerande systemutbildning för en kommun eller ett industriföretag.

Placeringsort: Skövde

Om rollen och din vardag

Vi bygger Sensor-Online.se – vår egen IoT-plattform som idag snurrar på samtliga kontinenter och används av allt från svenska industriföretag till internationella koncerner. Som utvecklare hos oss blir du en nyckelperson i att både driva plattformen framåt och se till att våra kunder får ut maximalt värde av den.

En vanlig dag i rollen kan innehålla:

• Fullstack-utveckling: Bygga nya robusta funktioner i C#-backend och React-frontend till Sensor-Online.
• Data & AI: Optimera flöden i InfluxDB och bygga smart logik/AI-funktioner för att analysera tidsserie-data från tusentals enheter.
• Kundsupport & Felsökning: Ta emot tekniska frågor från kunder och agera detektiv – är det koden, nätverket eller hårdvaran som strular?
• Hålla Utbildningar: Hålla i tekniska utbildningar och onboarding för nya samt befintliga kunder så att de förstår plattformens fulla potential.
• Automatisering: Sätta ihop effektiva flöden i Node-RED eller n8n för att lösa kundernas automatiseringsbehov.
• Serverdrift & Protokoll: Hantera Linux-servrar, analysera loggar samt utvärdera protokollval (t.ex. MQTT vs REST).

Vem vi tror att du är

Du har jobbat några år som utvecklare och vill förstå hela kedjan – från sensor till moln och hela vägen ut till slutanvändaren. Då rollen innebär både support och utbildning är det viktigt att du är kommunikativ, pedagogisk och trivs med att prata med människor, samtidigt som du har en tung teknisk grund att stå på.

Vi förväntar oss och önskar att du har koll på:

• Utveckling: Du är duktig inom C# och React och känner dig bekväm med modern systemarkitektur.
• Databaser & AI: Du har erfarenhet av InfluxDB (eller liknande tidsseriesystem) och ett intresse för dataanalys och AI.
• Det sociala & pedagogiska: Du har en stark servicekänsla, är pedagogisk och känner dig trygg med att hålla presentationer eller utbildningar för grupper.
• Linux & Nätverk: Du navigerar i Linux-miljöer och förstår grundläggande nätverk (subnet, brandväggar och trafikfelsökning).
• Meriterande: Erfarenhet av Node-RED, n8n, MQTT, LoRaWAN eller andra IoT-protokoll.

Vad vi erbjuder dig

• En varierad vardag: En unik kombo av tung utveckling, problemlösning och kundkontakt – du kommer aldrig att ha tråkigt.
• Korta beslutsvägar: Ett mindre team med kort väg från idé till produktion, och stor frihet att påverka plattformens framtid.
• Hög teknisk nivå: Kollegor som brinner för teknik, arkitektur och smarta lösningar.
• Kollektivavtal: Trygga anställningsvillkor, avtalspension och schyssta arbetsförhållanden enligt gällande avtal.
• Sjukvårdsförsäkring: Omfattande sjukvårdsförsäkring som ger dig snabb tillgång till privat vård och specialistläkare om det skulle behövas.

Om Nodeledge AB

Nodeledge är ett snabbväxande svenskt företag med spetskompetens inom IoT och M2M-kommunikation. Vi representerar flera starka internationella varumärken och utvecklar vår egen plattform, Sensor-Online, som används världen över. Hos oss får du korta beslutsvägar, hög teknisk nivå och kollegor som bryr sig om att bygga bra grejer. Det är bra drag under galoscherna, helt enkelt.

Låter det intressant?

Skicka in din ansökan redan idag! Urval sker löpande.

Vill du veta mer? Hör av dig med CV till info@nodeledge.se

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis.

•Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis.

•Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis.

•Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Software Engineer

What You Will Work On

• Develop and maintain the company's Buildkite CI strategy and infrastructure
• Scale Buildkite agent environments supporting large engineering organizations
• Manage self-hosted CI agents across Linux, macOS, and Windows platforms
• Build and improve pipeline templates, plugins, and automation frameworks
• Develop infrastructure for provisioning, scaling, and lifecycle management of CI agents
• Optimize CI pipelines for large-scale monorepos and complex software environments
• Improve developer experience through automation and standardization
• Support migration to modern CI capabilities and workflows
• Collaborate with engineering teams to create a reliable and scalable CI platform
• Drive continuous improvements within development processes and tooling

What You Bring

• 4+ years of experience building and implementing large-scale software systems
• Strong software engineering background
• Experience with Continuous Integration (CI) and Continuous Delivery (CD)
• Strong knowledge of Linux environments and scripting
• Experience working with Java and Python
• Experience with Docker and container-based environments
• Experience with Kubernetes
• Experience with Terraform or Infrastructure as Code
• Experience with CI/CD pipeline development and automation
• Knowledge of networking fundamentals, HTTP, and system integration
• Experience working with cloud platforms such as Google Cloud, AWS, or Azure
• Strong communication skills and ability to collaborate with multiple teams

Assignment description

We are looking for a Data Scientist for our customer.

Job description:

We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis.

•Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.



Required cloud certification: No