.DATA SCIENTIST (HYBRID) Portuguese company hires for hybrid workLocation: Lisbon or Porto (60% Remote, 40% On-Site), PortugalLanguage Requirements: Fluent Portuguese - English (B2 level)Sector: Automotive About Us: Join our innovative team in the automotive sector, where we leverage cutting-edge technologies to drive the future of mobility.
We're seeking a talented Generative AI Specialist to develop and optimize AI models that transform the way we interact with technology.
Your Role: Develop, fine-tune, and deploy Generative AI models using AWS services like Bedrock, SageMaker, and Lambda.
Harness the power of LLMs, embeddings, transformers, and diffusion models for NLP, image generation, and AI automation applications.
Enhance prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF) techniques.
Build and maintain scalable MLOps pipelines using SageMaker, ECS, and Kubernetes .
Process and manage large-scale datasets for AI training with AWS Glue, Athena, and Redshift .
Implement efficient retrieval-augmented generation (RAG) applications using vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch ).
Design and optimize ETL pipelines for AI/ML data workflows.
Collaborate with software engineers, DevOps, and product teams to integrate AI models into applications and APIs.
Ensure security, compliance, and data privacy in AI/ML workflows.
Monitor AI model performance and manage retraining needs with AWS CloudWatch, MLFlow, and other observability tools.
What We're Looking For: Strong background in Data Science, Machine Learning, and Generative AI - Min 5 years Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and Comprehend.
Hands-on experience with LLMs, embeddings, transformers, and diffusion models.
Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.
Expertise in MLOps, containerization (Docker, Kubernetes, ECS ), and CI/CD for ML pipelines.
Solid understanding of cloud optimization, distributed computing, and model scaling.
Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark .
Knowledge of NLP, image generation models, or multimodal AI solutions.
Nice to Have: Experience with fine-tuning open-source models (LLaMA, Falcon, Mistral, Stable Diffusion).
AWS certifications such as AWS Certified Machine Learning – Specialty.
Experience with real-time AI applications, chatbot development, or autonomous agents.
Knowledge of ethical AI, bias mitigation, and AI safety best practices.
Why Join Us?
Be part of a forward-thinking team that's redefining the automotive industry with AI-driven innovations.
Work in a dynamic and collaborative environment that fosters creativity and growth.
Enjoy a flexible work arrangement with a mix of remote and on-site work