Empresa:

Asenium Consulting

Descrição da Função

We seek an experienced Data Scientist to 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 GenAI models using AWS Bedrock, SageMaker, and Lambda
• Work with LLMs, embeddings, transformers, and diffusion models for NLP and image generation
• Optimize prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback) techniques
• Build scalable MLOps pipelines using SageMaker, ECS, and Kubernetes
• Manage large-scale datasets with AWS Glue, Athena, and Redshift
• Implement vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch) for RAG (Retrieval-Augmented Generation) systems
• Design and optimize ETL pipelines for AI/ML workflows
• Collaborate with DevOps, Software Engineers, and product teams to deploy AI models into APIs and applications
• Ensure data privacy, compliance, and model security
• Monitor model performance and retraining needs using CloudWatch, MLFlow, and observability tools

Requirements:

• Proven background in Data Science, Machine Learning, and Generative AI
• Strong skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers
• Expertise with AWS AI/ML stack: SageMaker, Bedrock, Lambda, Comprehend
• Experience with LLMs, embeddings, transformers, and diffusion models
• Familiarity with RAG, vector databases, and knowledge graphs
• Experience in MLOps, Docker, Kubernetes, and CI/CD pipelines
• Understanding of cloud optimization, distributed computing, and AI model scaling
• Data engineering experience with Glue, Athena, or Spark
• Knowledge of NLP, image generation, or multimodal AI

Interested candidates should send their CV and rate to or apply directly.

Observações

Lisboa (Portugal)