ML engineer

Giga Cloud is a premier Ukrainian cloud provider, with a robust presence in the B2B sector, boasting over 1,500 clients, 150+ global partners, and 5 data processing centers. Since 2016, we've been pivotal in aiding companies of all sizes in digital transformation using our cutting-edge cloud technologies. Our diverse clientele ranges from major corporations and government agencies to SMEs. Renowned for our 24/7 technical support and bespoke solutions, we operate four data processing centers across Poland and Ukraine, maintaining a 99.95% SLA with financial accountability.  
 
Our Mission: We create cloud space to increase your level of Freedom! 

Join the team! 

 

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).
• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.
• Fine-tuning, LoRA tuning, model distillation, and quantization.
• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.
• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

We offer you:
 

• Having the capability to create something new and witness your own input 
• You can find confidence in the future here, but rest assured it won't be dull 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Join our experienced team that values professional development and embraces new opportunities 
• Full-time employment contract 
• Multisport (light) 
• Paid vacation, sick leave