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Looking for an opportunity to be a part of something big?

Machine Learning Engineer

Sightic is a pioneering tech company on a mission to revolutionize safety across multiple industries. Founded in 2019 by two entrepreneurs with backgrounds in the Swedish police and security forces, Sightic began by developing digital tools for drug and alcohol detection. Today, our market reach extends to the automotive industry, shared mobility, and safety-critical workplaces. Our innovative solutions are built on trusted and extensive research, and we collaborate with top talents to engineer smarter safety for a safer world.​

Job description

Sightic is on the lookout for a skilled Machine Learning Engineer to join our innovative team. The ideal candidate will have a robust background in developing and implementing machine learning models, deep learning algorithms, and data processing techniques. Your expertise will contribute to the advancement of our products and services, leveraging predictive analytics and AI to solve complex problems and improve user experiences.

Main responsibilities

  • Design, develop, and deploy machine learning models and algorithms.

  • Collaborate with data scientists and engineers to integrate AI/ML solutions into applications.

  • Conduct data processing and analysis to improve model accuracy and efficiency.

  • Keep abreast of advancements in AI/ML technologies and methodologies.

  • Experiment with new models and techniques to enhance performance and capabilities.

  • Optimize algorithms for real-time data processing and scalability.

Qualification requirements

  • Proven experience in machine learning and data science.

  • Strong proficiency in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).

  • Experience with data modeling, analysis, and visualization tools.

  • Solid understanding of deep learning, neural networks, and computer vision.

  • Knowledge of software engineering best practices.

  • (Good to Have) Experience with cloud services and big data technologies.

  • (Good to Have) Experience from the automotive industry.

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.

What we offer

  • Competitive salary and benefits package.

  • Flexible working conditions.

  • A culture that champions innovation and continuous learning.

  • Opportunities for professional development and advancement.​


Want to know more? Contact our CTO Fredrik Mäkeläinen:

Apply below!

Please note that we are not working with recruitment firms and kindly request no unsolicited offers of assistance.

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