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  • Wszystkie ofertyWarszawaBI & DataAI Developer
    AI Developer
    new
    BI & Data
    Antal Sp. z o.o.

    AI Developer

    Antal Sp. z o.o.

    Warszawa
    Rodzaj pracy
    Pełny etat
    Doświadczenie
    Specjalista/Mid
    Forma zatrudnienia
    B2B
    Tryb pracy
    Praca Hybrydowa

    Wymagane umiejętności

    data analyst

    AI/ML

    Opis stanowiska

    Generative AI Developer (Mid-Level)

    Warsaw - HYBRID MODEL

    B2B contract


    We are looking for an experienced Generative AI Developer to design, develop, and deploy AI models that produce high-quality, creative outputs. You'll collaborate with automation specialists and product managers to deliver AI-driven solutions that meet business goals and enhance user experience.


    Key Responsibilities:

    • Model Development: Design and optimize generative models (GANs, VAEs, Transformers) for text, image, and audio generation.
    • Data Management: Handle large datasets, ensuring quality and integrity through preprocessing and augmentation.
    • Research & Innovation: Stay current with generative AI research and integrate new techniques.
    • Collaboration: Work with cross-functional teams to define AI solutions and integrate models into production.
    • Performance Optimization: Monitor and enhance model performance, scalability, and latency.
    • Documentation: Maintain detailed records of model architecture and training processes.
    • Testing & Validation: Implement testing protocols for model robustness.
    • Mentorship: Guide junior developers and interns.


    Qualifications:

    • Experience: 3-5 years in AI/ML development, focused on generative models.
    • Education: Bachelor's or master’s in Computer Science, Engineering, or a related field.
    • Technical Skills:Proficiency in Python, ML libraries (e.g., TensorFlow, PyTorch).
    • Expertise in generative models (GANs, VAEs, Transformers).
    • Knowledge of deep learning, cloud platforms, and containerization (AWS, Docker).
    • Experience with large datasets and data preprocessing.
    • Soft Skills:Strong problem-solving, communication, and teamwork abilities.
    • Effective project management and time management skills.
    • Bonus Skills: NLP, computer vision, audio processing, reinforcement learning, or contributions to open-source projects.

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