Senior ML/AI Engineer

Om 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