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Nina HajokNH

Nina Hajok

Technical Lead, Senior AI/ML Architect/ Engineer

€1,000/day
Heidelberg, DE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Nina

As an AI Architect and Senior Machine Learning Engineer, I combine strategic thinking with hands-on implementation. My expertise ranges from designing scalable data architectures to building production-ready ML systems such as recommendation engines, plausibility checks for form validations, geospatial analytics for renewable energy, and clickstream-based personalization. I specialize in Recommender Systems, Big Data solutions, and Generative AI, and bring deep experience with Python (pandas, scikit-learn, NumPy), Spark, SQL, and MLOps tools like Kubernetes, Airflow, and Docker.

I don’t just build models, I design complete data solutions, ensuring data is structured, validated, and deployed efficiently to maximize business value. Whether creating AI platforms from scratch or optimizing existing pipelines, I deliver measurable impact through robust, scalable solutions.
  • German

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Freiberufler
    Senior ML / AI & Data Engineer
    DIGITAL AND IT
    July 2023 - Today (2 years and 11 months)
    Sinsheim, Germany
    - 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.
  • Freelancer
    Technical Lead AI, AI Architect
    PUBLIC SECTOR
    February 2025 - Today (1 year and 4 months)
    - 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.
    Project Management
  • Suited
    Senior Machine Learning Engineer
    October 2022 - June 2023 (8 months)
    New York, NY, USA
    - 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.

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Education

  • Master of Science
    Ruprecht-Karls-Universität Heidelberg
    2019
    Master of Science - MS, Informatik

Skill set

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