AI & ML Engineer

Job description

AI, ML and LLM Platform Engineer

Role overview

We are looking for AI and machine-learning engineers who can develop, train and deploy production-oriented models and ML services. Assignments may involve LLM applications, engineering automation, perception, sensor data, data pipelines or other industrial use cases.

This profile is intended for genuine ML engineering experience, not primarily BI, reporting or dashboard development.

Responsibilities

You may be responsible for:

• Building and maintaining machine-learning pipelines from data preparation through deployment.
• Training, evaluating and improving machine-learning models.
• Developing Python-based data and software components.
• Integrating or fine-tuning large language models for practical applications.
• Deploying ML services using containers, cloud platforms or orchestration tools.
• Monitoring model performance and improving production reliability.
• Collaborating with engineers, data scientists and domain specialists.
• Contributing to MLOps, experiment tracking, model versioning and CI/CD.

Required experience

• Strong professional Python development experience.
• Hands-on experience building or training models with PyTorch, TensorFlow or a comparable framework.
• Experience with data preparation, model training, evaluation and deployment.
• Experience developing software systems rather than only notebooks or ad hoc scripts.
• Understanding of production considerations such as testing, versioning, monitoring and deployment.
• Strong English communication skills.

Preferred experience

• LLM integration, RAG, prompt engineering or model fine-tuning.
• Kubernetes, Docker or cloud ML platforms.
• MLOps and automated ML pipelines.
• Computer vision, object detection, sensor data or time-series modelling.
• Automotive, industrial or engineering-domain experience.
• Experience with annotation processes and training-data quality.

Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!