Design and prototype advanced AI models, including NLP, computer vision, and multimodal architectures
Build and validate LLM‑based solutions, including retrieval‑augmented generation (RAG), prompting frameworks, and fine‑tuned models
Develop proof‑of‑concept pipelines across supervised, unsupervised, and semi‑supervised tasks
Translate domain and industry knowledge into scalable AI techniques
Conduct data quality monitoring, exploratory analysis, and feature engineering
Communicate AI findings clearly through written narratives, visuals, and presentations
Collaborate with Data Scientists, AI Engineers, Product teams, and stakeholders
Ensure models are robust, maintainable, and compatible with existing production ecosystems

Requirements

Strong proficiency in Python (or R) and SQL
Familiarity with PyTorch, TensorFlow, Hugging Face, and related AI stacks
Experience with Google Cloud Platform (GCP); Azure is a plus
Ability to build and maintain cloud resources (notebooks, buckets, SQL instances, VMs, service accounts)
Experience with git workflows, merge requests, and code review
Understanding of CI/CD pipelines, scripting, shell commands, and automation
Awareness of model scaling, cost optimisation, and experiment tracking tools
Strong ability to select appropriate visual techniques for text, images, and numeric data
Proficiency with at least one visualisation or dashboarding framework
Capable of producing shareable or dynamic reports/apps
Strong understanding of EDA, classical ML methods, clustering, and predictive modelling
Applied experience with NLP, embeddings, and text‑based workflows
Ability to maintain and improve ML models
Hands‑on experience with LLM‑based workflows (e.g., LangChain or similar frameworks)
Knowledge of prompt patterns, failure modes, and evaluation strategies

Benefits

Flexible work time with the perfect work/life balance
Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks
Intelligent and fun colleagues working in a constructive and inspiring atmosphere

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSQLPyTorchTensorFlowHugging FaceGoogle Cloud PlatformAzureCI/CDNLP

Soft Skills

communicationcollaborationdata quality monitoringexploratory analysisfeature engineeringvisualization techniquesreportingproblem-solvingadaptabilitycritical thinking