Senior Data Scientist
- Украина
- Постоянная работа
- Полная занятость
- Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
- Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
- Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
- LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
- Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.
- Collaboration: Work closely with Data Engineering, DevOps, and MLOps teams to integrate models into production pipelines and workflows.
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- Wellbeing and professional coaching
- English classes
- Soft skills training
- 4+ years of experience in machine learning or data science roles, with deep learning (NLP, LLMs) expertise.
- Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
- Proven experience with generative AI and fine-tuning large language models.
- Strong experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
- Excellent communication skills and ability to work directly with customers in a consulting capacity.
- A master’s degree in a relevant field and AWS ML certifications are a plus.