About Wise Pirates
Wise Pirates, a leading Digital, Tech, and AI Business partner, operates in over 80 countries worldwide from its base in Portugal. With a team of over 100 individuals, we are a Martech independent agency in the South European market. Our ambition is to pioneer an AI-first marketing ecosystem in a seamlessly integrating human ingenuity with artificial intelligence. We are a dynamic, forward-thinking company with a strong focus on cutting-edge AI and its applications in marketing and beyond.
About the Role
We are seeking a highly motivated Machine Learning Engineer to join our R&D team. You will play a crucial role in developing innovative projects, particularly in Generative AI, LLMs, micro-LLMs, AI Agents, and other MarTech innovations.
This role blends research, development, and software production, requiring you to transform ideas into impactful solutions with a global reach.
This role has a strong focus on Google Cloud Platform (GCP) for data pipelines, ETL, and MLOps.
Responsibilities
- Research, design, and implement cutting-edge machine learning solutions in the customer engagement, customer experience, human experience, and sales ecosystems.
- Develop and operationalize innovative AI solutions, from data collection and processing to model deployment and monitoring creating unique outputs.
- Build and maintain scalable frameworks for productizing ML / AI-based software, ensuring performance and efficiency.
- Brainstorm experiments and develop projects in areas like data feeds, software integrations, digital assistants, NLP applications, hyper-personalization, sentiment analysis, predictive analytics, computer vision, AR/VR AI content generation, AI-powered recommendations, predictive lead scoring, AI-based marketing automation, AI multivariable A/B testing, LLM-powered chatbots, AI for dynamic pricing, and next-gen applications based on SMLs and LLMs among others.
- Collaborate with cross-functional teams (engineering, marketing, product) to integrate ML / AI solutions, addressing technological challenges with a market-first, data-driven, iterative experimentation approach.
- Continuously explore new ML/AI technologies, frameworks, and relevant tech trends.
- Conduct experiments and optimize ML/AI models based on performance analysis.
- Document Gen AI/ML/DL frameworks, algorithms, and innovations for knowledge sharing.
- Embrace an evolving ecosystem and role within our innovative and service-oriented culture.
- Contribute to the R&D team's decision-making and the company's evolving vision and strategy.
- Develop IP and innovative solutions that comply with ethical guidelines, data privacy laws, and industry best practices.
Ideal Technical Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (preferred).
- Machine Learning specialist skills.
- Experience developing and deploying ML solutions (experimentation and production).
- Experience with data modeling, unstructured data transformation, data cleaning, preprocessing, feature engineering, analytics engineering, and ETL processes. Familiarity with libraries like scikit-learn, pandas, and Spark MLlib.
- Experience in Google Cloud, Azure or AWS.
- Expertise in Python or any other relevant programming language.
- Strong software engineering best practices (version control, testing, CI).
- Minimum of 2 years of relevant professional experience.
Other Skills
- Languages, English and Portuguese.
- Analytical and problem-solving skills.
- Ability to bridge communication between technical and business teams.
- Collaborative and team-oriented approach.
- Desire for continuous learning and professional growth in a fast-paced environment.
Differentials
- Professional experience in AdTech, MarTechor or in a RDI lab either in universities or private sectors.
- Deep knowledge of generative AI, LLMs, TensorFlow, PyTorch, and LangChain (JAX, Keras, FastAI, Transformers, DeepSpeed are a plus).
- Professional experience with Google Cloud Platform (GCP) services like Vertex AI, Dataflow, BigQuery, Cloud Storage, Composer (for Airflow), Generative AI Studio, Model Garden, NotebookLM, Gemini, Generative AI App Builder.
- Professional experience with MLOps tools (example MLflow, Kubeflow, Amazon SageMaker, DVC, TFX).
- Experience with low-code/no-code ecosystems and workflow automation solutions.
- Ability to evaluate model performance using relevant metrics (accuracy, precision, recall, F1-score, Log Loss, MSE, AUC).
- Knowledge of Agile methodologies.
- Postgraduate degree in Data Science.