Company: Hermes Corporate
Region: Brescia , Lombardy
We are seeking a highly skilled and motivatedData Scientistwith deep expertise in AI and machine learning to join our growing team. In this role, you will design, develop, and deploy advanced AI solutions to solve complex business problems, working with cutting-edge models and technologies such as LLMs and multimodal architectures. Youll collaborate across functions to drive innovation and deliver real-world impact through intelligent systems.Key ResponsibilitiesDesign, develop, and deploy AI/ML solutions to address complex business challengesFine-tune and optimize pre-trained language models (e.g., LLaMA, Mistral, Falcon) for domain-specific applicationsBuild and maintain scalable data processing pipelines for model training and inferenceImplement model deployment strategies using MLOps best practicesCollaborate with product, engineering, and analytics teams to identify opportunities and deliver AI-powered solutionsContinuously evaluate and improve model performance, accuracy, and efficiencyStay up to date with the latest research and advancements in machine learning and AIRequired QualificationsBachelors degree in Computer Science, Data Science, or a related field3+ years of experience developing and deploying AI/ML models in productionStrong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlowHands-on experience with transformer models and large language models (LLMs)Proficiency in model optimization techniques including quantization, pruning, and distillationExperience with MLOps tools and workflows for scalable model deploymentStrong problem-solving abilities and attention to detailPreferred QualificationsMasters degree in AI, Machine Learning, or a related fieldExperience working with Vision-Language Models (VLMs) for multimodal tasksFamiliarity with vector databases, embeddings, and semantic search techniquesKnowledge of LLM orchestration frameworks such as LangChain or LlamaIndexExperience implementing Retrieval-Augmented Generation (RAG) pipelinesProficiency with Docker, Kubernetes, and cloud ML services (AWS, Azure, GCP)Background in applying AI in industrial, manufacturing, or real-time environmentsWhy Join UsWork on cutting-edge AI/ML problems with real-world impactCollaborative and intellectually curious teamOpportunities for career growth and continuous learningFlexible work environment and competitive compensationWe offer a competitive salary, commensurate with experience, in the range of28,000 32,000 annually .