Overview Joining AIKO means becoming part of a young, talented team dedicated to delivering high-quality work while maintaining a healthy work-life balance. We believe in trust, responsibility, and flexibility, offering a supportive environment where you can thrive. Our team enjoys collaborating in our Torino office, working from home when desired, and taking time off when needed. Don’t miss the chance to revolutionize the future with us! We are seeking a Machine Learning Engineer specializing in Large Language Models (LLMs) to join our growing and dynamic team. As a Senior Machine Learning Engineer specializing in LLMs, you will be instrumental in the development and optimization of machine learning models, particularly in deep learning and MLOps pipelines with a specific focus on integrating LLMs into our product applications. We are looking for a Machine Learning Engineer with a specialization in LLMs to develop, optimize, and deploy machine learning models that push the boundaries of language understanding and generation technologies. You will work closely with a team of data scientists and ML engineers on groundbreaking projects that push the boundaries of AI integration in space technologies. Your expertise will directly impact R&D projects and product development. Your role will be vital in refining our methodologies, workflows, and ensuring our models are robust and production-ready. What matters most is your passion for technology, drive to innovate, and commitment to contributing to cutting-edge solutions in the future of space. Tasks Design, develop, and optimize machine learning models using Large Language Models (e.g., GPT, BERT, T5, or custom transformers) to power language-based applications such as text generation, summarization, question answering, retrieval-augmented generation and more. Fine-tune and pretrain LLMs on both general-purpose and domain-specific datasets to achieve high-performance models for various tasks (e.g., information extraction). Explore and implement techniques to leverage transformers, attention mechanisms, and LLM-based architectures for health monitoring use cases. Utilize Python, C++, and relevant ML libraries (e.g., PyTorch, TensorFlow) to develop, train, and deploy deep learning models, emphasizing high performance and reliability. Manage and handle large datasets, ensuring efficient data preprocessing and analysis, storage, and access for ML model training and evaluation. Ensure the appropriate extraction of features, especially when dealing with textual data from LLMs. Continuously improve model accuracy and performance, applying best practices in software quality, version control, and testing. Optimize LLMs for large-scale deployment, focusing on improving efficiency in terms of inference speed, memory usage, and computational resources. Process, analyze, and visualize data, generating detailed reports, maps, and presentations for various stakeholders. Contribute to the development and deployment of machine learning models in production environments, leveraging MLOps approaches to ensure efficient integration and smooth operations. Work closely with cross-functional teams to deliver high-quality project outcomes, emphasizing accurate data handling, technical excellence, and adherence to deadlines. Stay updated on the latest advancements in LLM architectures (such as zero-shot/few-shot learning and attention mechanism), machine learning, and deep learning technologies, promoting continuous learning within the team. Requirements Master’s degree in Computer Science, Engineering, Mathematics, or related fields. 3-5 years of proven experience in machine learning and deep learning with a focus LLMs. Proven expertise in developing machine learning models for textual data, including data preprocessing, feature extraction, and model deployment. Experience with transformer-based models, such as GPT, BERT, or other state-of-the-art LLM architectures. Hands-on experience with pretraining, fine-tuning, and deploying LLMs for various NLP tasks (e.g., text classification, translation, generation). Strong coding skills to integrate and deploy models in a production environment. Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Pandas, Scikit-learn. Strong statistical and analytical skills, with a solid grasp of machine learning theory and practical application. Experience with object-oriented programming and a commitment to quality and achieving project goals. Excellent communication skills with the ability to present complex data insights to both technical and non-technical audiences. A proactive approach to problem-solving, with a strong commitment to goals, quality, and a positive attitude toward growth and change. Preferred Experience PhD in Computer Science, Engineering, Mathematics, or related fields, highlighting advanced expertise in machine learning with LLMS focus. Previous working experience in a software product-oriented company. Demonstrated success in managing and scaling ML projects that combine textual data from LLMs with time series for real-world applications. Proven track record in key technical or lead roles in R&D projects, particularly in innovative or cutting-edge technology environments. Strong Experience in time series analysis and data management for health monitoring and predictive maintenance applications. Expertise in designing and implementing MLOps pipelines using tools like Git, MLFlow, Kubeflow, and Kubernetes, ensuring efficient deployment of ML models. Demonstrated success in managing and scaling complex ML projects from concept to deployment, with proven integration into real-world applications. Extensive experience in data management practices and the ML software development lifecycle, emphasizing quality, scalability, and efficiency. Familiarity with Scrum working methodology and Agile principles, demonstrating an ability to work efficiently within iterative and collaborative development processes. Benefits Ticket Restaurants Health insurance, on a CCNL insurance plan Welfare plan, according to CCNL Flexible working hours Flexible smart working policy Access to courses for skills improvement Salary for the role: 40K-60K€ Hiring Process: The interview process for this role will somewhat look like: 1st Stage: Interview with our People & Talent and the Hiring Manager 2nd Stage: Technical step We hopefully make you an offer! DEI in AIKO AIKO is an equal-opportunity employer. We encourage candidates from all backgrounds and experiences to apply. Research shows that women or people belonging to minorities often don't apply to roles they don't feel they match 100% of the requirements. If this posting is interesting to you, we encourage you to apply even if it is not a perfect match! We are looking for real people, not robots! About us AIKO is a cutting-edge deep-tech company founded in 2017. We specialize in developing advanced automation software tailored for space missions, empowering humanity's ambitions beyond Earth's orbit. Our mission is to revolutionize the space industry by providing innovative solutions that enhance efficiency, reliability, and safety in space exploration endeavors.