AI Machine Learning Engineer

Job Location:

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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 Layer8s 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: Masters 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.

These positions are funded and aligned with the scope and objectives of the Layer8s 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: Masters 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.