03.11.2026 aktualisiert
100 % verfügbar
Machine Learning Engineer & Computational Biologist | Agentic AI | Bioinformatics | Cloud/DevOps
Au, Deutschland
Au +50 km
PhD Theoretical Physics, Manchester University, UKSkills
Machine Learning & Deep Learning
Expertise in building end-to-end machine learning pipelines using PyTorch, TensorFlow, Keras, CNN/U-Net architectures, Scikit-learn, and Hugging Face. Application of deep learning methods to bioinformatics and proteomics data analysis.
Agentic AI & LLM Infrastructure
Extensive experience with agentic AI frameworks including PydanticAI, LangChain, Ollama, OpenRouter, and tools such as Claude Code, Codex, Cursor, Pi, and GitHub Copilot. Building LLM-driven pipelines with Model Context Protocol (MCP) servers, agent skills, instruction files, and local LLM routing.
Cloud/DevOps & CI/CD
Proficiency in Docker, Docker Sandboxes (sbx microVMs), Kubernetes, Helm, Ansible, Molecule, Singularity, Slurm, and AWS. CI/CD pipelines with GitHub Actions, GitLab CI, UV, Poetry, Conda, PyPI packaging, OCI artifact publishing, and semantic versioning releases.
Bioinformatics Pipelines
Design and deployment of scalable bioinformatics pipelines using Nextflow, Snakemake, Bioconductor, Galaxy, MultiQC, MaxQuant, MSFragger, ProteoWizard, and OpenMS for proteomics and metabolomics data analysis.
LLM Evaluation Frameworks
Implementation of LLM evaluation methods including LLM-as-judge evaluators, pairwise comparison, Bradley-Terry ranking, and baseline regression testing of agent responses.
Programming Languages
Expert-level Python programming; additional proficiency in Bash, Java, SQL, R, and C++.
Code Quality & Security
Application of code quality and security tools including pytest (with plugin development), Pyright, Ruff, ShellCheck, yamllint, Codecov, OpenSSF Scorecard, and Dependabot.
REST API Development
Development of REST APIs using FastAPI and OpenAPI, including AWS-hosted solutions for user management and job posting serving large user bases.
Monitoring & Observability
Experience with monitoring and observability tools including Logfire, Grafana, InfluxDB, and MongoDB.
Expertise in building end-to-end machine learning pipelines using PyTorch, TensorFlow, Keras, CNN/U-Net architectures, Scikit-learn, and Hugging Face. Application of deep learning methods to bioinformatics and proteomics data analysis.
Agentic AI & LLM Infrastructure
Extensive experience with agentic AI frameworks including PydanticAI, LangChain, Ollama, OpenRouter, and tools such as Claude Code, Codex, Cursor, Pi, and GitHub Copilot. Building LLM-driven pipelines with Model Context Protocol (MCP) servers, agent skills, instruction files, and local LLM routing.
Cloud/DevOps & CI/CD
Proficiency in Docker, Docker Sandboxes (sbx microVMs), Kubernetes, Helm, Ansible, Molecule, Singularity, Slurm, and AWS. CI/CD pipelines with GitHub Actions, GitLab CI, UV, Poetry, Conda, PyPI packaging, OCI artifact publishing, and semantic versioning releases.
Bioinformatics Pipelines
Design and deployment of scalable bioinformatics pipelines using Nextflow, Snakemake, Bioconductor, Galaxy, MultiQC, MaxQuant, MSFragger, ProteoWizard, and OpenMS for proteomics and metabolomics data analysis.
LLM Evaluation Frameworks
Implementation of LLM evaluation methods including LLM-as-judge evaluators, pairwise comparison, Bradley-Terry ranking, and baseline regression testing of agent responses.
Programming Languages
Expert-level Python programming; additional proficiency in Bash, Java, SQL, R, and C++.
Code Quality & Security
Application of code quality and security tools including pytest (with plugin development), Pyright, Ruff, ShellCheck, yamllint, Codecov, OpenSSF Scorecard, and Dependabot.
REST API Development
Development of REST APIs using FastAPI and OpenAPI, including AWS-hosted solutions for user management and job posting serving large user bases.
Monitoring & Observability
Experience with monitoring and observability tools including Logfire, Grafana, InfluxDB, and MongoDB.
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Developed workflow for quantum circuit calibration using Prefect orchestration with integration of Quantum Machines hardware. Integrated quantum compute units into high performance computing infrastructure. Built AWS-hosted REST API for job posting and user management serving 1000+ users at Israel Quantum Computing Center, Tel Aviv.
Designed scalable bioinformatics pipelines processing complex metaproteomics datasets. Deployed on high performance computing clusters using Nextflow, Singularity and Slurm. Successfully scaled proteomics search engine MSFragger to handle large metaproteomics datasets. Collaborated with a cross-functional team on gut microbiome research.
Developed Python backend for deep learning image analysis.