Senior Machine Learning Engineer | Lausanne | Hybrid

Job Title: Senior Machine Learning Engineer

Location: Bern (80/100%)

Job Type: Full-Time | Hybrid Work Available

Role Overview:

Optimus Search has partnered with a leading software development company based in Lausanne, using cutting-edge AI to solve complex challenges and deliver intelligent solutions. As a Senior Machine Learning Engineer, you will be responsible for leading the development and deployment of scalable ML models. You’ll work at the intersection of data science, software engineering, and AI research, contributing to products that make a measurable impact.

Responsibilities:

• Design, develop, and deploy state-of-the-art machine learning models
• Collaborate with data scientists, software engineers, and product teams to build end-to-end ML pipelines
• Mentor junior engineers and promote best practices in ML and MLOps
• Lead experimentation and optimisation efforts to improve model performance
• Stay up to date with the latest research and industry trends in AI/ML

Requirements:

• Degree (Uni/FH) in computer science, mathematics or physics
• 5+ years of experience in machine learning engineering or applied data science
• Strong programming skills in Python (plus experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of algorithms, data structures, and software design
• Experience with cloud platforms (AWS, GCP, or Azure) and containerisation tools (Docker, Kubernetes)
• Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker, Kubeflow)
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment
• Fluency in English; other languages, particularly French, are a bonus

Compensation:

• Competitive salary and performance-based bonuses
• Flexible working hours and hybrid remote work options
• A modern office in the heart of Bern with access to cutting-edge infrastructure
• Opportunities for continuous learning and career advancement
• A collaborative, international team and a culture that values innovation and impact