Tech Stack
DockerKubernetesPythonPyTorchScikit-Learn
About the role
- Create AI/ML algorithms to power innovative tools and workflows, focusing on agentic capabilities
- Embed AI/ML models into applications, build workflows, and ensure seamless performance
- Build and implement systems from the ground up and write production-level code
- Define processes and best practices for future team growth
- Work with engineers, designers and solution leads to understand customer business needs and translate them into end-to-end solutions
- Leverage AI for predictive analysis, automation, decision support, and operational optimization
- Leverage LLMs for content generation, entity extraction, analysis and summarization of textual data, LLM orchestration, and agentic workflows
- Wrap analytical models into deployable APIs
- Collaborate with data engineering and software development teams to integrate data pipelines and deliver customer-facing applications
Requirements
- 3+ years of experience building AI/ML algorithms and solutions
- Degree in Computer Science or related field
- Experience with Python
- Experience with ML frameworks like PyTorch and scikit-learn
- Strong understanding of supervised and unsupervised learning, reinforcement learning, and neural networks
- Hands-on experience with Natural Language Processing (NLP), traditional ML, and LLMs
- Experience with data preprocessing, feature engineering, and model evaluation techniques
- Familiarity with GenAI concepts (RAG, agentic workflows, MCP, A2A, tool use, function calling, multi-modal systems)
- Experience with MLOps, including monitoring and optimizing AI models for performance, scalability, and efficiency
- Familiarity with DevOps practices and CI/CD tools (Docker, Kubernetes, GitHub Actions, Skaffold)
- Familiar with working in a consulting or agency environment on project-based work
- Ability to take a project from conception to production-level customer deployment
- Must meet local legal and compliance requirements; position open only to candidates based in Portugal (preferably Lisbon)