Job Description
<h3>📋 Description</h3> • Collaborate with cross-functional teams to design, develop, and implement cutting-edge Generative AI solutions;
• Research and experiment with the latest advancements in Generative AI, ensuring our solutions remain on the leading edge of technology;
• Optimize and fine-tune models for performance, scalability, and efficiency;
• Work on end-to-end development, from ideation to deployment, ensuring a seamless integration of Generative AI into various software ecosystems;
• Stay abreast of industry trends, emerging technologies, and best practices, contributing to a culture of continuous learning and improvement. <h3>🎯 Requirements</h3> • Advanced degree in Computer Science, Machine Learning, or a related field
• 6+ years of experience as an AI/ML engineer / data scientist
• Proven experience in developing Generative AI solutions
• Solid understanding of deep learning concepts, supervised / unsupervised / self-supervised / reinforcement learning
• Solid understanding of Large Language Models, Transformers architecture, self-attention, and embedding models
• Proven experience with advanced Retrieval Augmented Generation and vector DBs
• Solid experience with kowledge graphs, graph DBs (Neo4j) and graph RAG
• Expertise with AI Agents design, orchestration and optimization
• Experience with CrewAI, LangChain / LangSmith / LangGraph and/or LlamaIndex
• Experience with model fine-tuning
• Hands-on data pre-processing experience
• Strong Python expertise
• Proficiency in ML frameworks such as PyTorch, TensorFlow, or similar
• Expertise with AWS Bedrock and SageMaker
• Expertise with Azure ML
• Expertise with LLMOps
• Familiarity with Docker
• Strong problem-solving skills and a passion for tackling complex challenges <h3>🏖️ Benefits</h3> • access to trainings and certifications
• bonuses and aids
• socializing activities
• attractive compensation