Wise Pirates is seeking a Machine Learning/AI Engineer to join their R&D team to work on innovative AI projects, including Generative AI, LLMs, micro-LLMs, AI Agents, and other MarTech innovation projects, to transform ideas into impactful solutions and evolve the company into an AI-first marketing ecosystem.
Requirements
- Proficiency in Python or similar;
- Proven experience with developing and deploying machine learning solutions in experimentation or production;
- Mid to Deep knowledge of generative AI, LLMs, and frameworks such as TensorFlow, PyTorch, and LangChain. (JAX, Keras, FastAI, Transformers, deepspeed, or other deep learning frameworks);
- Experience with data modeling and transforming unstructured data into usable formats, including data cleaning, preprocessing, feature engineering, analytics engineering, and ETL processes and familiarity with libraries such as sci-kit-learn, pandas, and Spark MLlib;
- Knowledge and/or experience in solutions like Vertex AI, Generative AI Studio, Model Garden, NotebookLM, Gemini, Generative AI App Builder, Github Co-Pilot, Azure Databricks or Azure Cognitive Service;
- Knowledge or experience in MLOps Tools, such as: MLflow, Kubeflow, Amazon Sagemaker, DVC, TFX, etc.
- Ability to follow software engineering best practices (version control, testing, continuous integration);
Responsibilities
- Research, design, and implement cutting-edge machine learning and deep learning systems, solutions or workflows, focusing on generative AI and large language models in ecosystems such as marketing, customer engagement, customer experience, human experience, and sales;
- Develop and operationalize innovation solutions, namely AI solutions, from data collection and processing to model deployment and monitoring, building unique outputs;
- Create and maintain scalable frameworks for the productization of AI-based software, ensuring performance and efficiency;
- Brainstorm experiments systematically and develop/build projects in areas such as data feeds, software integrations, digital assistants, NLP applications development, customer journeys hyper-personalization, AI-based sentiment analysis tools, predictive analytics, computer vision, AR/VR AI-driven content generation tools creation & optimization, AI-powered recommendation systems, Predictive Lead Scoring, Ai-Based Marketing Automation, AI Multivariable AB Testing, LLM-powered chatbots for customer support, AI for Dynamic Pricing, new generation of applications based on existing SMLs and LLMs and many others;
- Collaborate with cross-functional teams (engineering, marketing, product) to integrate AI solutions into commercial products and solve technological challenges, with a market-first approach but with a systematic experimentation approach to build innovation in a way where iterative failure, done in a data-centric way to build intelligence for the sprints decisions, is part of the process;
- Continuously explore new technologies, frameworks, and tools related to AI, machine learning, and other technology-relevant trends and evolutions;
- Conduct experiments and tests with AI models, optimizing them based on performance analysis and results;
Other
- Strong communication skills, both written and verbal, to effectively collaborate with different teams and stakeholders in Portuguese and English languages;
- Analytical problem-building and problem-solving skills in tackling mid to complex challenges and finding innovative solutions, including a critical mindset about data sets, evolutions, and patterns;
- Beginner's mindset with escalation ambition, being able to iterate at different speeds, including pure growth hacking;
- Bridge with operational teams and clients, helping understand the tech requirements and bottlenecks while listening to understand the business needs and market opportunities;
- Desire to evolve technically and as a professional in a scale-up environment and to be part of the innovation in a fast-changing environment, with ambition and a hunger for innovation.
