Hybrid AI Engineer (LLM , Vision Language Models)
Fractal Analytics, Київ, за кордоном
- Формат:
- повний remote
- Джерело:
- jobs.dou.ua
Що робити
- Data Engineering & Curation: Build and manage data pipelines, including dataset preparation, filtering, deduplication, and preprocessing for ML workflows
- Model Training & Fine-Tuning: Train and fine-tune models using techniques such as LoRA, SFT, and DPO for LLM-based systems
- AI Systems Development: Develop RAG pipelines, evaluation frameworks, and benchmarking systems for applied AI use cases
- Deployment & Optimization: Deploy models using SageMaker, EKS, vLLM, or NIM and optimize for latency, throughput, and cost
- Multimodal Workflow Support: Work with document and image-based datasets, supporting OCR, document AI, and multimodal training/inference workflows
Що очікуємо
- ML Engineering & Model Training: Strong Python skills with hands-on experience in PyTorch/Hugging Face and LLM fine-tuning techniques (LoRA, SFT, DPO)
- Data Pipelines & Dataset Engineering: Experience building and managing data pipelines, including dataset preparation, filtering, and preprocessing
- LLM Systems & Evaluation: Practical understanding of RAG systems, model evaluation, benchmarking, and applied AI workflows
- Applied AI Problem Solving: Ability to design, debug, and optimize end-to-end ML systems across data, training, and inference stages
- Multimodal Data & VLM Awareness: Familiarity with image-text/document datasets, OCR/document AI workflows, and basic multimodal concepts
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