We seek an experiencedData Scientistto join a cutting-edge AI team working on scalable, production-ready solutions.Location:Lisbon or Porto (60% remote / 40% on-site)
Languages required:English (minimum B2)Responsibilities:
Develop, fine-tune, and deploy Gen AI modelsusingAWS Bedrock, Sage Maker, andLambda
Work withLLMs,embeddings,transformers, anddiffusion modelsfor NLP and image generation
Optimizeprompt engineering,fine-tuning, andRLHF (Reinforcement Learning from Human Feedback)techniques
Build scalableMLOps pipelinesusing Sage Maker, ECS, and Kubernetes
Manage large-scale datasets withAWS Glue, Athena, andRedshift
Implementvector databases(Pinecone, Weaviate, FAISS, Amazon Open Search) forRAG (Retrieval-Augmented Generation)systems
Design and optimizeETL pipelinesfor AI/ML workflows
Collaborate withDev Ops, Software Engineers, and product teams to deploy AI models into APIs and applications
Ensuredata privacy, compliance, andmodel security
Monitor model performance and retraining needs usingCloud Watch, MLFlow, and observability toolsRequirements:
Proven background inData Science,Machine Learning, andGenerative AI
Strong skills inPython,SQL, and ML frameworks such asTensor Flow,Py Torch, andHugging Face Transformers
Expertise withAWS AI/ML stack: Sage Maker, Bedrock, Lambda, Comprehend
Experience withLLMs, embeddings, transformers, and diffusion models
Familiarity withRAG, vector databases, andknowledge graphs
Experience inMLOps,Docker,Kubernetes, andCI/CD pipelines
Understanding ofcloud optimization,distributed computing, andAI model scaling
Data engineering experience withGlue,Athena, orSpark
Knowledge ofNLP,image generation, ormultimodal AIInterested candidates should send their CV and rate apply directly.