Title: Senior Machine Learning Engineer
Type: Permanent contract
About Visium
We enable enterprise executives to define their AI & Data strategy, execute large-scale transformations, and implement AI across operations, ensuring their organization becomes future-proof.
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.
We're on a mission to pioneer a bright future and build future-proof and ethical organizations. We're a team of curious, ambitious, doers, good-hearted people who build a world we're all in awe of – our Visumees.
We're looking for someone ready to become one.
Role
As a Senior Machine Learning Engineer, you'll assume a technical leadership role in designing, implementing, and deploying innovative solutions with tangible business impact. You'll join our growing team and contribute to our expansion in Switzerland and internationally.
Coupling state-of-the-art Machine Learning techniques with best practices in Software Engineering, you'll build robust and scalable applications that empower our clients to drive meaningful value from their data. You're passionate about understanding client needs to drive top-notch customer experience and adoption. You're meticulously organized and prepared to work in a fast-paced and dynamic team environment.
Responsibilities
* You will proactively take ownership of projects, making decisions and ensuring successful outcomes.
* You will embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills.
* You will exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere.
* You will have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way.
Requirements
* You must have 4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role.
* You must have experience with ML / DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers).
* You must be proficient in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology).
* You must have experience applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models.
* You must have experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow).
* You must have experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML).
* You must be familiar with REST API and microservices.
Nice to Have
* You may have experience with Data and AI platforms (Databricks, Dataiku, Snowflake) or an associated Data Engineer certification.
* You may have experience working in a client-facing or consulting role.
* You may be familiar with Generative AI models & tools (e.g., langchain, OpenAI API, LLama2).
* You may be familiar with web development (e.g., Next.js, React, FastAPI, Flask).
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 flexible 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.
* 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.