Arbetsbeskrivning

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 [email protected]