Senior Machine Learning Engineer

10 ore fa

Turin, Piemonte, Italia Aiko A tempo pieno
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Aiko. As a key member of our engineering team, you will be responsible for designing, developing, and optimizing machine learning models, particularly in the area of Large Language Models (LLMs).

Key Responsibilities
  • Design and develop machine learning models using LLMs to power language-based applications such as text generation, summarization, and question answering.
  • Fine-tune and pretrain LLMs on both general-purpose and domain-specific datasets to achieve high-performance models for various tasks.
  • 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 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.
  • Continuously improve model accuracy and performance, applying best practices in software quality, version control, and testing.
  • 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.
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 on 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.
  • Strong coding skills to integrate and deploy models in a production environment.
  • Proficiency in Python and relevant ML libraries.
  • 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.
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.
What We Offer
  • 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 consist of two stages: an initial interview with our People & Talent and the Hiring Manager, followed by a technical step.

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