Senior ML/AI Engineer
Semicon Service Nordic AB
📍 Sverige
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 24 maj 2026
✦ Få fler intervjuer
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Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · 49 kr/mån för obegränsatOm jobbet
About the Opportunity
Our client is looking for a Senior ML/AI Engineer to strengthen their data platform by integrating advanced AI capabilities. The role focuses on building scalable, production-ready machine learning solutions while balancing technical excellence with business value and cost efficiency.
Role Overview
The selected candidate will take ownership of end-to-end machine learning workflows, from data processing and feature engineering to model deployment and monitoring. This position requires a strong understanding of the full ML lifecycle along with hands-on experience in cloud-based AI ecosystems.
Key Responsibilities
Design, develop, and maintain end-to-end machine learning solutions across the full lifecycle
Transform raw data into meaningful features and deploy scalable models into production environments
Monitor, evaluate, and continuously improve model performance and reliability
Collaborate with cross-functional teams to align AI solutions with business objectives
Optimize development, deployment, and operational costs while ensuring maximum value delivery
Implement robust engineering practices including version control, testing, and CI/CD pipelines
Contribute to platform enhancements within Databricks and Azure environments
Required Experience & Qualifications
Minimum 5+ years of experience in developing and maintaining production-grade ML/AI solutions
Proven expertise across the complete ML pipeline (data → features → modeling → deployment → monitoring)
Strong programming skills in Python
Hands-on experience with Azure AI ecosystem (Azure AI Services, Microsoft Foundry, etc.)
Experience working with Databricks and cloud-based data platforms
Proficiency in ML frameworks such as TensorFlow, PyTorch, MLlib, and Scikit-learn
Practical experience with MLOps tools (preferably MLflow)
Strong domain expertise in at least one area: NLP, Computer Vision, Time Series, or Anomaly Detection
Familiarity with software engineering best practices (Git, CI/CD, testing frameworks)
Preferred Skills
Experience with Retrieval-Augmented Generation (RAG) systems
Exposure to agent-based systems and Robotic Process Automation (RPA)
Knowledge of PySpark / Apache Spark
Experience working with event-driven architectures or streaming data systems
Prior experience mentoring or guiding junior ML/Data Engineers
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Language Requirements
English: Mandatory (Professional proficiency)
Work Model (Job Mode)
Hybrid (up to 25% remote work permitted)
On-site presence required based on client needs
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com
Our client is looking for a Senior ML/AI Engineer to strengthen their data platform by integrating advanced AI capabilities. The role focuses on building scalable, production-ready machine learning solutions while balancing technical excellence with business value and cost efficiency.
Role Overview
The selected candidate will take ownership of end-to-end machine learning workflows, from data processing and feature engineering to model deployment and monitoring. This position requires a strong understanding of the full ML lifecycle along with hands-on experience in cloud-based AI ecosystems.
Key Responsibilities
Design, develop, and maintain end-to-end machine learning solutions across the full lifecycle
Transform raw data into meaningful features and deploy scalable models into production environments
Monitor, evaluate, and continuously improve model performance and reliability
Collaborate with cross-functional teams to align AI solutions with business objectives
Optimize development, deployment, and operational costs while ensuring maximum value delivery
Implement robust engineering practices including version control, testing, and CI/CD pipelines
Contribute to platform enhancements within Databricks and Azure environments
Required Experience & Qualifications
Minimum 5+ years of experience in developing and maintaining production-grade ML/AI solutions
Proven expertise across the complete ML pipeline (data → features → modeling → deployment → monitoring)
Strong programming skills in Python
Hands-on experience with Azure AI ecosystem (Azure AI Services, Microsoft Foundry, etc.)
Experience working with Databricks and cloud-based data platforms
Proficiency in ML frameworks such as TensorFlow, PyTorch, MLlib, and Scikit-learn
Practical experience with MLOps tools (preferably MLflow)
Strong domain expertise in at least one area: NLP, Computer Vision, Time Series, or Anomaly Detection
Familiarity with software engineering best practices (Git, CI/CD, testing frameworks)
Preferred Skills
Experience with Retrieval-Augmented Generation (RAG) systems
Exposure to agent-based systems and Robotic Process Automation (RPA)
Knowledge of PySpark / Apache Spark
Experience working with event-driven architectures or streaming data systems
Prior experience mentoring or guiding junior ML/Data Engineers
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Language Requirements
English: Mandatory (Professional proficiency)
Work Model (Job Mode)
Hybrid (up to 25% remote work permitted)
On-site presence required based on client needs
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com