23.08.2026 aktualisiert


100 % verfügbar
Senior Python / Deep Learning / AI Engineer, Freelancer
Gilching, Deutschland
Deutschland
Dipl.-Wirtschaftsing. (FH), Master Sustainability Economics and ManagementSkills
AI AgentsOpenAIAzure DevOpsAmazon S3DevOpsMachine LearningAWS CLITensorFlowData SciencePyTorchSnowflakeDeep LearningAWS LambdaJupyterBackend
Deep Learning, Object Detection, APIs, python, tensorflow, pytorch, openCV, docker, azure, GPU, flask, Computer Vision, GPU-clusters, mlflow, nvidia drivePX, Machine Learning, pandas, scikit-learn, numpy, plotly, react, cloud, cloud platform, backend, IoT, agile methods, scrum, JIRA boards, DevOps, coding, golang, REST APIs, graphQL APIs, influxdb, postgresql, mongodb, vue.js, highcharts, nginx, kubernetes, microservices, node.js, mysql, apache, html, javascript, jquery, monolithic on-prem system, vmWare, gnuplot, MS Project, asana, mantis, Linux (desktop/server, embedded, Ubuntu, Debian, Windows, Mac, Programming, Front-end Tech, CSS, vue, js/react, dash, flutter, Data Science, libs, SQL Databases, PostGres, Redis, GCP, AWS, Azure, Virtualization, Containerization, HyperV, Jira, YouTrack, Git, github, gitlab, bitbucket, Gerrit, Jenkins, plotly dash,
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2018
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisseSpanischgut
Projekthistorie
Full-stack implementation of data modelling, internal market modelling, data pipelining,
data fetching from variety of internal/external sources for time-series of gas, power,
commodity markets. Provisioning of internal APIs, interfaces with other consuming systems,
internal dashboards. Serverless containerized deployments via AWS lambdas, stepfunctions, batch etc. Development of internal MCP Servers, LLM usage via AWS Bedrock. Development Process using corporate Claude Code / Github Copilot.
Full-stack implementation of tech- and pricing web dashboard for CHP and Heatpump plant, with technical time-series prediction/forecasting (heat consumption/ production/ tank levels) and plant-schedule control incl. deployment, automation, hosting, VPN services, IoT-Connections etc.
Project Birds-Eye-View networks with multi-camera and temporal fusion implementation
from SOTA papers. Object Detection team: Implementation of new architectures,
integration into Multi-Task-Learning (with SemSeg), development of internal graph-based
preprocessing-/delivery framework for inference including APIs and web visu