ML Engineer

About

As an ML Engineer within the ALSO Analytics Team, you will contribute directly to data-driven solutions that create tangible business impact across the organization. In this role, you will work closely with internal business stakeholders, and domain experts to transform complex challenges into scalable, intelligent systems. Your technical expertise and curiosity will help you spot opportunities in a rapidly evolving business environment, enabling our teams to make better, faster, and more informed decisions.

You will help shape the entire life-cycle of machine-learning products—from early experimentation and prototyping to scalable deployment and long-term maintenance. By combining analytical rigor with hands-on engineering skills, you will play a key role in building the next generation of data products that support our colleagues in their daily work.

Key Responsibilities

Machine Learning Engineering

• Design and develop robust ML systems, models, and algorithms that address real business needs.
• Train, fine-tune, and optimize models to ensure high performance and reliability.
• Evaluate model behavior through experiments and benchmarking to guide technical decisions.
• Prepare, clean, and analyze large and complex datasets to support ML development.
• Build, maintain, and improve automated ML pipelines—from data ingestion to model deployment.
• Ensure scalability and operational stability of end-to-end ML workflows.

Deployment & Operations

• Deploy ML models to production environments, ensuring they integrate seamlessly with business applications.
• Monitor, evaluate, and continuously improve existing models to maintain accuracy and relevance over time.

Communication

• Communicate insights, findings, and results in a clear and accessible way to both technical and non-technical audiences.
• Contribute to shared best practices, internal knowledge exchange, and the evolution of team workflows.

Required Skills & Qualifications

Technical Skills

• Contribute to shared best practices, internal knowledge exchange, and the evolution of team workflows.
• Strong programming skills, particularly in Python.
• Experience with major ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Expertise creating LLM solutions using base-models (Agents, Tool calling, Workflows)
• Solid foundation in statistics, mathematics, and data modeling techniques.
• Knowledge of neural network architectures and modern ML methodologies.
• Understanding of fundamental software engineering principles, version control, and CI/CD.
• Familiarity with cloud computing environments

Soft Skills

• Strong problem-solving abilities combined with creativity and initiative.
• Analytical and structured thinking, with attention to detail.
• Ability to communicate complex topics clearly and effectively.
• Comfortable working in cross-functional, collaborative teams.
• Curiosity and a mindset of continuous learning in a rapidly evolving field

About Also

Also is one of the leading technology providers for the ICT industry currently active in 30 countries in Europe and in a total of 144 countries worldwide. In 2024, net sales of the Swiss-based company, which employs about 4 200 people, amounted to 11 billion euros. The ALSO ecosystem offers around 135 000 resellers hardware, software and IT services from more than 800 vendors in over 1 570 product categories. In the spirit of the circular economy, the company provides all services from provision to refurbishment from a single source.

ALSO has three business models: The Supply division comprises the transactional range of hardware and software. The Solutions division supports customers in the development of customized IT solutions and ready‑to‑use IoT applications. Subscription‑based cloud offerings for soft‑and hardware as well as platforms for cybersecurity, IoT, virtualization and AI are the focus of the Service area.

It is one of our fundamental values to respect human rights and to ensure that they are respected. This includes, in particular, respecting the personal dignity and privacy of each individual. Ethical behaviour is also expected of all our employees in business dealings with our partners. We are committed to fair, unrestricted competition and do not allow our decisions to be influenced by gifts or invitations, let alone financial benefits. Improving the lives of all people through technology - that is ALSO's goal. This also includes protecting our environment and making careful use of the limited resources we have. For further reference, please refer to our Code of Conduct.