Senior AI/ML Engineer, CH

Job Description

As a Senior AI/ML Engineer at vector8, you will design, implement, and deploy AI solutions that bridge the gap between research and production. Your work will focus on integrating and fine-tuning AI Models, optimizing the model performance, and ensuring enterprise-grade reliability, security, and scalability.

This Is a Hands-on Engineering Role Where You Will

• Develop and optimize LLM and VLM-powered solutions for enterprise use cases
• Develop and optimize TTS, STT and ML models.
• Apply software engineering best practices (testing, CI/CD, modular design, documentation)
• Collaborate with cross-functional teams (data engineers, MLOps, cloud architects, and business stakeholders)
• Solve real-world enterprise challenges (security, compliance, legacy system integration)
• Own the full lifecycle of AI models, from data exploration to production monitoring

You will work closely with vector8’s Engineers and Project Managers to co-design AI foundations that enable organizations to scale AI from individual use cases to enterprise-wide capabilities.

The role is primarily based in Zurich, with occasional travel to client sites and collaboration with teams across Europe.

Job Requirements

• 5+ years of experience in AI/ML engineering, software development, or a related field
• Expertisein LLM architectures and training methodologies:
• Transformers, attention mechanisms, fine-tuning, RAG, quantization
• Prompt engineering, model evaluation, bias detection
• Strong knowledge of machine learning architectures: fully connected, CNN, LSTM,transformersand classical ML models
• Strong software engineering skills:
• Proficient in Python (FastAPI,Pydantic,asyncio, type hints)
• Experience with API development
• Familiarity with modern toolchains (Docker, Kubernetes, Terraform)
• Hands-on experience with LLM integrations:
• LLM providers
• Vector databases (Pinecone,Weaviate, Milvus)
• Model serving (vLLM, TGI,KServe)
• Experience withMLOpsand production deployments

• Understanding of enterprise challenges:
• Security, compliance, scalability, costoptimization.
• Experience with relational and non-relational databases.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration skills (fluent in English; German is a strong plus).
• Bachelor’s orMaster’s degree in Computer Science, Mathematics, Physics, ora relatedfield.
• Experience with multi-cloud environments (AWS, Azure, GCP).
• Experience with code optimization (e.g., model quantization, parallelization).
  

Job Responsibilities

End-to-End Model Development

Design, implement, and deploy distributed, high-volume, high-performance, low-latency machine learning solutions, with a focus on GenAI models, and especially LLM integrations and API-driven architectures

Take ownership of your models throughout their entire life cycle:

Data exploration and cleaning to build reproducible, versioned datasets

State-of-the-art research to identify the best architectures for the problem (e.g., transformers, RAG, fine-tuning)

Implementation, training, and optimization in reproducible environments

Deployment, monitoring, and maintenance in production

Optimizemodels for performance, latency, and cost efficiency, especially in LLM serving and inference

Software Engineering for AI

Write clean, modular, and well-documented code in Python (FastAPI,Pydantic,asyncio)

Apply best practices in:

• Testing (unit, integration, end-to-end)
• CI/CD (GitHub Actions, GitLab CI,ArgoCD)
• Observability (logging, monitoring, tracing)

Ensure security and compliance (data protection, access controls, encryption)

Integrate models and code into CI/CD pipelines for seamless deployment

AI & ML Integration & API Development

Design and implementAI-powered solutions that integrate with APIs, microservices, and event-driven architectures

Develop andoptimizeAIpipelines for:

• Dataset cleaning,preprocessingand model training
• Fine-tuning (domain adaptation, instruction tuning)
• Retrieval-Augmented Generation (RAG) (vector databases, semantic search)
• Prompt engineering (optimizinginputs for performance, cost, and accuracy)
• Model evaluation (benchmarking, bias detection, drift analysis)
• Build scalable, secure, and cost-efficient serving infrastructure (e.g.,FastAPI,vLLM)
• Debug andoptimizeperformance (latency, throughput, token efficiencyfor Transformer based architectures)
• Enterprise AI & MLOps
• Deploy andmonitorAI models in production
• Design and implementMLOpspipelines for:
• Model training, fine-tuning, and evaluation
• Model versioning and lineage tracking
• A/B testing and canary deployments
• Ensure scalability and reliability (auto-scaling, fault tolerance, disaster recovery)
• Collaborate with data engineers to build data pipelines (batch, streaming, real-time)
• Collaboration & Technical Leadership
• Work closely with product owners, DevOps, and quality assurance in an agile, cross-functional team
• Mentor junior engineers and promote best practices in AI/ML and software engineering
• Translate product requirements into technical solutions and architectural decisions
• Document architectures, decisions, and best practices for internal and client-facing use
• Develop relationships with internal and external stakeholders, including clients and partners
• Innovation & Continuous Improvement
• Stay ahead of the latestAI and MLarchitectures (transformers, Mixture of Experts, sparse attention).
• Experiment withcutting-edgetechniques (quantization, distillation, speculativedecoding).
• Evaluate and benchmark open-source and proprietary models (Llama, Mistral,Mixtral, GPT-4, Claude).
• Bring your own ideas through vector8’s ideation process.
• Contribute to vector8’s AI accelerators (reusable components for common industry problems).
• Embrace a strategic and continuous improvement mentality to drive innovation.
  

Job Benefits

• A role at the forefront of AI transformation for leading Swiss enterprises in financial services, insurance, and beyond
• Work withcutting-edgeAI technologies and innovative solutions that create real, measurable business value
• A dynamic, entrepreneurial work environment where your contributions directly drive company growth
• Supportive team culture that prioritises continuous learning, professional development, and personal growth
• A leadership ethos focused on empowering people, fostering collaboration, excellence, authenticity, and diversity
• Competitive salary package, 25 days of vacation, development budget, and a flat hierarchy