Machine learning Engineer

AI/ML

Inflancka 4d, Warszawa+4 Locations

Harvey Nash Technology

Full-time

B2B

Mid

Remote

Tech stack

English

B2

Docker

advanced

Kubernetes

advanced

Amazon AWS

advanced

Microsoft Azure

advanced

PyTorch

regular

TensorFlow

regular

Job description

Responsibilities:

• Design, implement, and optimize advanced generative models, including diffusion models, tailored for high-quality audio synthesis and transformation.
• Collaborate with researchers to adapt, innovate, and refine existing architectures for novel and complex generative challenges.
• Fine-tune and evaluate state-of-the-art deep learning models, ensuring they meet both technical benchmarks and creative intent.
• Build robust pipelines for data preprocessing, augmentation, and efficient large-scale model training.
• Analyze and monitor model performance using key metrics and iterate to enhance fidelity and reliability.
• Work closely with engineering teams to integrate models into production environments, optimizing for performance and scalability.
• Stay current with recent advancements in generative AI and bring fresh ideas into research and deployment efforts.

Requirements:

• Experienced: You bring 3+ years of hands-on experience in deep learning, particularly with generative architectures.
• Innovative Thinker: You're driven to push the boundaries of what generative models can achieve, always seeking smarter and more elegant solutions.
• Mathematically Grounded: You possess strong knowledge in linear algebra, probability, and optimization—essential for understanding and improving model behavior.
• Detail-Oriented: You rigorously test, evaluate, and tune models to ensure they perform robustly across different use cases.
• Team Player: You work well in multidisciplinary environments, communicating effectively to align technical development with strategic goals.

Skills:

• Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative models like diffusion models, GANs, VAEs, or transformers.
• Familiarity with audio signal processing and tools like librosa, torchaudio, or custom DSP workflows.
• Knowledge of distributed training techniques and GPU/TPU performance optimization for large-scale model development.
• Experience with prompt-based or conditional generation tasks.
• Practical experience deploying models using cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Strong background in managing datasets for generative applications in audio, image, or text.

Published: 09.08.2025

Meet the company

Harvey Nash Technology

Harvey Nash Technology to firma działająca w branży rekrutacyjnej i doradztwie personalnym, oferująca usługi takie jak rekrutacje stałe, contracting, executive search oraz contract management. Firma jest częścią grupy Nash Squared i specjalizuje się w innowacyjnych rozwiązaniach HR, pomagając klientom znaleźć idealnych pracowników oraz zarządzać procesami zatrudniania.

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