20.10.2026 aktualisiert

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Technical Lead AI, AI Architect, Senior ML / AI & Data Engineer

Sinsheim, Deutschland
Nur Remote
MSc Computer Science
Sinsheim, Deutschland
Nur Remote
MSc Computer Science

Profilanlagen

Nina_Hajok_resume_202507.pdf

Skills

APIsKünstliche IntelligenzApache AirflowAmazon Web ServicesData AnalysisArcgisKünstliche Neurale NetzwerkeAtlassian ConfluenceAtlassian JiraAutomatisierungMicrosoft AzureBig DataCloud ComputingContinuous DeliveryContinuous IntegrationDatenprüfungETLProjektplanungElasticsearchInfrastrukturPythonPostgreSQLMachine LearningProjektmanagementNoSQLNumPyOpenShiftVisualisierungElastic LogstashTensorFlowPrometheusDataOpsSwaggerSciPySQLSqlalchemySalesforce TableauDaten- / DatensatzprotokollierungDocker ContainerDatenverarbeitungGoogle CloudData SciencePostmanPyTorchDocker SwarmFluentdFlaskLarge Language ModelsGrafanaPrompt EngineeringApache SparkMontage und DemontageDeep LearningGenerative AIIndexerConvolutional Neural NetworksKerasGitFastAPIpandasAmazon RdsContainerisierungPySparkGitlab-CiScikit-learnKubernetesXgboostSpark StreamingElastic KibanaRestful ApisSplunkGPTRecurrent Neural NetworksDockerElk StackAmazon RedshiftDatabricks
Languages & Data Processing: Python, SQL, Apache Spark (PySpark), Spark Streaming, ETL
Machine Learning & AI: TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, Pandas, NumPy, SHAP, LIME
Generative AI & LLMs: OpenAI (ChatGPT API), Prompt Engineering, LLM Integration
Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Containerization & Orchestration: Kubernetes, Red Hat OpenShift, Docker
Kubernetes Tooling: Helm, Kustomize
Infrastructure & CI/CD: GitLab CI/CD, Airflow, dbt
APIs & Development: FastAPI, Flask, RESTful APIs, Swagger, Git
Search & Indexing: OpenSearch, Elasticsearch
Monitoring & Logging: Prometheus, Grafana, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana, Beats), Fluentd
Workflow & Automation: Databricks
Visualization & GIS: Tableau, ArcGIS
Productivity & Collaboration: Jira, Confluence, Postman

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2023

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Senior Machine Learning & Data Engineer

Freiberuflich

500-1000 Mitarbeiter

  • Developing AI-based recommendation systems for color, text, and content optimization to support web-based brand creation. Integrating prompt engineering, generative AI, and visual-semantic analysis into existing creative workflows. Focused on production-ready API development and modular machine learning components.
  • Directed the development of a complex AI-driven algorithm for a startup, leveraging LLMs to address advanced challenges in video processing. Planned and outlined a roadmap to guide implementation and ensure a scalable, innovative solution.
  • Developed a predictive recommendation engine for a major entertainment company, utilizing Big Data technologies. This project enhanced user engagement and retention, resulting in an increase in user activity on the platform.
  • Developed a geospatial analytics model to calculate and filter rooftop sizes suitable for solar energy cell installations, enabling clients in the renewable energy sector to optimize site selection and enhance sustainable energy initiatives.
  • Architected and planned the roadmap for a comprehensive Feature Store, streamlining feature engineering processes and significantly reducing the time required for model training and deployment.
  • Designed advanced data pipeline solutions, incorporating scalable and robust data architectures that supported real-time analytics and decision-making capabilities.
  • Conducted in-depth technology assessments and provided strategic insights, helping clients to adopt cutting-edge tools and methodologies for improved data-driven decision-making.

Technical Lead AI, AI Architect

Freiberuflich

Öffentlicher Dienst

50-250 Mitarbeiter

  • Leading the creation of a new AI division within a highly regulated environment. Designing a sustainable infrastructure focused on data validation, automation, and scalability. Developed a proof-of-concept project for plausibility checking to demonstrate the feasibility of AI in public administration, covering everything from architecture design to implementation.
  • Complete overhaul of the data and AI architecture of an established game development company. Conducted a full system audit, identified critical data silos and failure points, and proposed a scalable, cost-efficient target architecture. Currently managing roadmap planning, engineering guidelines (Clean Code, testing), internal training, and implementation of an AI-ready platform. First production-ready clickstream analyses are underway to enable personalized gaming experiences.

Senior Machine Learning Engineer

Suited

Sonstiges

10-50 Mitarbeiter

  • Led the development of a secure, scalable data storage solution, facilitating efficient model building and R&D efforts.
  • Pioneered data augmentation strategies for ML models, enhancing the predictive accuracy for firms with limited data points.
  • Authored compliance tests against US regulations for bias and discrimination in predictive hiring models.
  • Contributed to the growth of the company's customer base by developing tailored predictive models for small firms.

Data Engineer, AI Product Engineering Team

Schwarz IT

Konsumgüter und Handel

>10.000 Mitarbeiter

  • Championed the adoption of PySpark, reducing KPI computation time from 24 hours to 18 minutes, and subsequently spearheaded a company-wide workshop on Spark implementation, establishing it as a standard for data-intensive projects.
  • Served as the technical lead for the pallet-loading optimization project, orchestrating a solution that resulted in multi-million euro savings by enhancing operational efficiency and reducing truck loading times.
  • Automated object detection on video data, transitioning from a 2-month manual labeling process to an automated, minute-scale operation, significantly accelerating the client's data science initiatives.
  • Organized and led an internal developer conference, orchestrating 42 presentations with 79 speakers, which cultivated a strong culture of knowledge sharing and innovation across the organization.
  • Delivered 6 comprehensive knowledge-sharing sessions on security and vulnerability tools, elevating software quality and establishing new best practices within the engineering team.
  • Authored a comprehensive OAuth 2.0 guide for data scientists, which was adopted as a company standard, ensuring secure and standardized authentication practices across all projects.
  • Contributed to the development and refactoring of Proof of Concept (PoC) applications, the creation of CI/CD pipelines using Kubernetes, and the enhancement of operability through sophisticated logging, monitoring, and alerting systems.
  • Drove analytics optimization by refining model parameters and algorithms, and played a pivotal role in the technical recruitment process, bolstering the team's expertise and efficiency.
  • Led the meticulous documentation of application workflows and operational processes, substantially improving the AI department's knowledge management and procedural clarity.

Zertifikate

LFD459: Kubernetes for App Developers

Credly

2021


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