We seek an experienced Data Scientist to join a
- edge AI team working on scalable,
- ready solutions.
Location: Lisbon or Porto (60% remote / 40%
- site)
Languages required: English (minimum B2)
Responsibilities:
Develop,
- tune, and deploy Gen
AI models using AWS Bedrock, Sage
Maker, and Lambda
Work with LLMs, embeddings, transformers, and diffusion models for NLP and image generation
Optimize prompt engineering ,
- tuning, and RLHF (Reinforcement Learning from Human Feedback) techniques
Build scalable MLOps pipelines using Sage
Maker, ECS, and Kubernetes
Manage
- scale datasets with AWS Glue, Athena, and Redshift
Implement vector databases (Pinecone, Weaviate, FAISS, Amazon Open
Search) for RAG (Retrieval-Augmented Generation) systems
Design and optimize ETL pipelines for AI/ML workflows
Collaborate with Dev
Ops, 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 Cloud
Watch, 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 Tensor
Flow, Py
Torch, and Hugging Face Transformers
Expertise with AWS AI/ML stack : Sage
Maker, 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.
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