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Quest Global

ML Engineeer

Quest Global
Sweden · Full-time · Entry

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

  • Model Development: Design, train, and optimize machine learning models for production use.
  • Architecture & Scalability: Build robust, scalable ML pipelines and data processing systems.
  • Research & Innovation: Stay ahead of emerging AI/ML trends and integrate cutting-edge techniques.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
  • Mentorship: Guide and review the work of junior ML engineers and data scientists.
  • Deployment & Monitoring: Implement CI/CD for ML models, ensuring performance, reliability, and fairness.

Required Skills

  • Technical Expertise:
  • Strong proficiency in Python, TensorFlow, PyTorch, scikit-learn.
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.
  • Deep understanding of NLP, Computer Vision, or Recommendation Systems.
  • Strong grasp of data structures, algorithms, and distributed computing.
  • Soft Skills: Excellent problem-solving, leadership, and communication abilities.

Preferred Experience

  • Leading ML projects from concept to deployment.
  • Working with big data technologies (Spark, Hadoop).
  • Applying ethical AI and bias mitigation strategies.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Key Responsibilities

  • Model Development: Design, train, and optimize machine learning models for production use.
  • Architecture & Scalability: Build robust, scalable ML pipelines and data processing systems.
  • Research & Innovation: Stay ahead of emerging AI/ML trends and integrate cutting-edge techniques.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
  • Mentorship: Guide and review the work of junior ML engineers and data scientists.
  • Deployment & Monitoring: Implement CI/CD for ML models, ensuring performance, reliability, and fairness.

Preferred Experience

  • Leading ML projects from concept to deployment.
  • Working with big data technologies (Spark, Hadoop).
  • Applying ethical AI and bias mitigation strategies.

Education & Experience

BS or MS in Computer Science or related engineering disciplines will be considered

Benefits

Contract

Key Skills

Ranked by relevance

machine learning big data spark cicd ai data structures computer vision tensorflow pytorch python cloud mlops aws gcp
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Posted
Feb 13, 2026
Type
Full-time
Level
Entry
Location
Malmo

Industries

Engineering Services

Categories

Engineering Information Technology

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