Title: Machine Learning Software Engineer Start date: May **** Location: all Visium locations About us At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.
\n
With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.
\n
We're on a mission to pioneer a bright future and build future-proof and ethical organizations.
\n
Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of – our Visiumees.
\n
Ready to become one?
\n
As a Machine Learning Software Engineer, you will design, implement and optimize complex AI/ML applications.
\n
You act as the expert for engineering software according to best practices and state of the art patterns.
\n
You collaborate closely with software engineers, ML engineers, stakeholders, and leadership to turn business requirements into reality.
\n
Responsibilities Lead complex software engineering projects with focus on ML Guide our customers to efficient usage of AI in software engineering and for concrete use cases Implement and optimize ML use cases for on edge devices Collaborate closely with senior stakeholders to align business objectives with technical trade-offs between model accuracy, latency, and hardware costs.
\n
Mentor and guide ML and Embedded engineers, setting architectural standards for CI/CD in edge environments and on-device performance benchmarking.
\n
Requirements 5+ years of experience in software engineering.
\n
Strong understanding of Machine Learning and the current AI ecosystem.
\n
Hands on ML engineering experience.
\n
Experience in ML on edge (Smartwatches).
\n
Ability to translate business needs into robust technical solutions.
\n
Strong communication skills and senior-level stakeholder interaction.
\n
Following experience is a plus: Experience in biomedical data (like PPG heart rate analysis).
\n
ML profiling and optimization on edge devices.
\n
Mobile/wearable software engineering on Android (Wear OS) AND Apple (Watch OS).
\n
Understanding of sensors and sensors data manipulation (e.G. time series processing).
\n
Understanding of profiling and optimisation (battery, computing, etc).
\n
Benefits What we offer A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A adaptable working culture because your work-life balance matters to us A position that enables you to have an impact on 1'000s of people, and the whole company's growth.
\n
An international, knowledgeable, and passionate team with a strong collaborative mindset Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions.