Middle ML Engineer - Generative AI (Python) Offline

Hello!

 

We are Harmix (www.harmix.ai), a Ukrainian startup creating innovative products for the music industry. Our mission is to transform the approach to music search and analysis using advanced AI technologies.

 

We seek a Middle ML Engineer specializing in Generative AI to join our innovative team. You'll be at the forefront of developing multimodal AI, Large Language Models (LLMs), and AI Agents.

 

Key Responsibilities:

  • Develop and optimize generative models using Python and PyTorch.
  • Implement and refine multimodal AI solutions integrating audio, text, and visual data.
  • Design and enhance Large Language Models (LLMs) and AI agents for complex tasks.
  • Build robust ML pipelines for training, evaluation, and deployment.
  • Collaborate closely with backend, frontend, and DevOps teams to ensure seamless integration of AI models.
  • Conduct experiments, analyze results, and continually improve model performance.
  • Document research findings, codebases, and model architectures clearly and effectively.

     

What We Expect from the Candidate:

  • Solid understanding of Machine Learning fundamentals, including deep learning, NLP, and generative models.
  • 3+ years of experience working with Python and PyTorch.
  • Practical experience with LLMs (e.g., GPT models, LLaMA), transformer architectures, and AI agents.
  • Experience developing and deploying multimodal AI systems.
  • Strong analytical and problem-solving skills.

     

What Is a Plus:

  • Experience with vector databases and retrieval systems.
  • Knowledge of cloud services (AWS, GCP, Azure) and containerization (Docker).
  • Understanding of Databricks, CI/CD processes and deployment best practices.
  • Contributions to open-source ML/AI projects.

     

What We Offer:

  • Remote Contract: 15-20 hours per week.
  • Flexible work schedule.
  • Collaborative environment with opportunities for professional growth.
  • Chance to contribute directly to innovative products shaping the future of the industry.

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