AI-ingenjör - Lediga jobb

Markem-Imaje is a trusted world manufacturer of product identification and traceability solutions, offering a full range of reliable and innovative inkjet, thermal transfer, laser, print and label application systems. Markem-Imaje delivers fully integrated solutions that enable product quality and safety, regulatory and retailer compliance, better product recalls and improved manufacturing processes.

Markem-Imaje Sweden in Gothenburg is something as unusual as a small innovation and development hub with a startup mindset within an established global company.

Our mission is to lead the development of new innovative products and solutions, from concept to production with the freedom to use the work methods we find most efficient. We love what we do, and we have help from the global organization we are a part of.

We are seeking an experienced, skilled, and self-driven Principal Embedded Software Engineer, with a system mindset and an interest in exciting technology. You, just like we do, appreciate working with the complete development cycle, from idea to finished product, via proof of concept and implementation, using effective methods and tools.

In this role, you will:

• Develop control software in C++ and Go, as well as associated software architecture, in cooperation with developers from both the local office and other offices within the global organization.

• Bring a system level view, understanding how the software interacts with the hardware, how different customers use the products, and using that knowledge in architectural and prioritization work.

• Be part of an experienced and passionate team that develops not only software but also electronics and mechanics, with the possibility to share ideas, experience, and knowledge.

• Influence design choices within all development disciplines.

You will develop controller software in C++ and Golang, as well as associated tests, for a controller running embedded Linux that cooperates with other components within the printer, such as MCUs and FPGA. You will interface with other engineering disciplines, engineering teams, stakeholders, and customers to understand the application space and business requirements and use that understanding to influence technology selection and decisions, both within the company and together with major customers.

Beyond day-to-day development, you will:

• Lead and facilitate high level software estimation to support business planning activities.

• Mentor and teach other software engineers in improving their skills.

• Lead design reviews and drive improvements in design and code quality produced by internal and external engineers.

• Drive continuous improvement in source control and continuous integration by staying up to date with the latest industry practices and tools.

• Test and fault find code written by yourself and by others.

Throughout, you'll work closely with the team to achieve shared goals, and influence and inspire others through personal credibility.

• Bachelor's or Master's degree with significant professional experience developing software, and a demonstrable record of delivering high-quality embedded software for end user products from requirements analysis to delivery.

• Expert in writing portable, cross-platform, modern C++ code, with solid experience in Go/Golang and expert knowledge of real time operating system (RTOS) concepts.

• Expert architecture and design skills, functional decomposition, architectural viewpoints, UML/SysML, and design patterns, together with advanced implementation skills such as multithreaded and distributed systems programming and on target debugging.

• Demonstrable experience in a technical leadership role within a software team and for external engineering resources, including code reviews, design reviews, and mentoring.

• Advanced knowledge of electronics, including microcontrollers, memory and peripherals, and experience reading schematics and using oscilloscopes/logic analyzers.

Swedish, French, Italian, or Polish language skills would be beneficial but are not a requirement.

If you believe you match our values and have the experience we're looking for, then apply as we review applications on a rolling basis! We can't wait to hear from you!

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.