AI / Machine Learning Engineer

Description

Summary: Seeking qualified AI/ML Engineers to join R&D, driving innovation by researching and integrating cutting-edge AI capabilities for user-facing features and optimized internal workflows. Highlights: 1. Drive innovation with cutting-edge AI solutions in R&D. 2. Leverage Data Lakehouse and Kubernetes for AI development. 3. Fine-tune LLMs and build robust AI algorithms. We are seeking two highly qualified AI/ML Engineers to join our R\&D department and drive the development of Artificial Intelligence solutions for Layer8 products. You will drive innovation by researching and integrating cutting\-edge AI capabilities, transforming them into user\-facing product features and optimized internal workflows. Working within a modern data architecture, you will leverage our Data Lakehouse and Kubernetes environments to prototype, develop, fine\-tune, deploy, and scale these AI solutions. These positions are funded and aligned with the scope and objectives of the Layer8's PRR IFIC project. **Key Responsibilities** * **Applied Research \& Feature Development:** Conduct research into emerging AI and Machine Learning methodologies to design, prototype, and develop innovative features for our product suite. * **LLM Fine\-Tuning \& Customization:** Fine\-tune Large Language Models (LLMs) on domain\-specific data to enhance performance, accuracy, and relevance for targeted project use cases. * **Algorithm Development:** Translate complex business and cybersecurity problems into viable AI\-driven solutions, building robust algorithms from the ground up. * **Model Deployment:** Deploy, apply, and maintain machine learning models in a production environment using scalable, containerized deployments. * **Big Data Processing:** Interact with our Data Lakehouse using Apache Spark to process large volumes of data and ensure clean, efficient data pipelines for model training and inference. * **System Integration:** Integrate AI tools, RAG pipelines, and customized models into internal systems using Python/Java to drive productivity and efficiency. * **Cross\-functional Collaboration:** Work closely with multidisciplinary teams to ensure that R\&D outcomes are successfully integrated into the final product roadmap. **Required Qualifications (Must\-Haves)** * **Education:** Master’s degree in Computer Engineering (Engenharia Informática), Computer Science, or a related field. * **Programming Languages:** Proficiency in **Python** and/or **Java**. * **Core ML \& AI:** Proven experience building models with TensorFlow, PyTorch, and Scikit\-learn, backed by a solid understanding of algorithms, data structures, and statistics. * **Deployment \& Infrastructure:** Hands\-on experience developing and deploying applications using Docker. * **Research Acumen:** Ability to read, understand, and implement methodologies from academic or technical research papers into functional code. **Preferred Qualifications \& Tech Stack (Nice\-to\-Haves)** * **Big Data Ecosystem:** Strong familiarity big data processing using Apache Spark. * **Generative AI \& Modern Architectures:** Experience working with Large Language Models (LLMs), including fine\-tuning techniques (e.g., PEFT, LoRA), Natural Language Processing (NLP), Vector Databases, and building Retrieval\-Augmented Generation (RAG) pipelines.