Nexthink

Technology

SeniorAIMachineLearningEngineer

$145–195k ~AI est. Lausanne, Vaud, Switzerland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior AI Machine Learning Engineer at Nexthink. Skills: AI, Machine Learning, LLM, MLOps. Lead AI Development. Design AI-powered products”

What You'll Achieve.

Enhance digital employee experiences

Industry & Context.

Technology
Problems you'll solve

Problem-solving skills; Data intuition

What They're Looking For.

Must Have

5+ years of hands-on experience in LLM-powered production applications, Proficiency in Python, Proficiency in AI frameworks, Proven experience with AWS, Proven experience with cloud-based AI deployments, Solid understanding of AI model fine-tuning, Solid understanding of AI model optimization, Solid understanding of AI model evaluation, Excellent problem-solving skills, Ability to work in a fast-paced environment, Ability to work in a collaborative environment, Eagerness to learn, Eagerness to adapt, Communication skills in English, Hands-on experience with MLOps, Familiarity with MLOps best practices

Nice to Have

Master's degree, Knowledge of reinforcement learning, Knowledge of retrieval-augmented generation, Knowledge of multi-agent AI architectures, Data intuition, Experience with reproducible pipelines, Experience with automated evaluations, Experience with feature stores, Experience with CI/CD for models, Experience with promptbedding configs

What You'll Do.

Design AI-powered products

Implement AI-powered products

Focus on Agentic systems

Define metrics of success

Implement MLOps practices

Manage MLOps practices

Streamline deployment of models

Streamline monitoring of models

Streamline maintenance of models

Work closely with software engineers

Work closely with data scientists

Work closely with product teams

Align AI capabilities with business needs

Guide junior AI engineers

Support junior AI engineers

Foster a culture of learning

Foster knowledge sharing

How You'll Work.

Team & Collaboration

Software engineers; Data scientists; Product teams

Communication Scope

Explaining complex AI concepts

Full Job Description

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as a Senior ML Engineer! As a key member of our AI team, you will design, develop, and deploy scalable AI solutions, leveraging cutting-edge technologies to enhance digital employee experiences for millions worldwide. Responsibilities * Lead AI Development – Design and implement AI-powered products, with a strong focus on Agentic systems. * LLMs done right – Create evaluations and define metrics of success using cutting edge AI platforms. * MLOps - Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments. * Collaboration & Leadership – Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs. * Mentorship & Coaching – Guide and support junior AI engineers, fostering a culture of learning and knowledge sharing. ## Qualifications * Bsc/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. * 5+ years of hands-on experience in LLM-powered production applications. * Strong proficiency in Python and AI frameworks (e.g., LangChain, PyTorch). * Proven experience with

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