Machine Learning Engineer

We are looking for a Data Scientist /ML Engineer for challenging project.

What you'll do

• Perform comprehensive data cleaning, anonymization, and encoding to prepare textual data for analysis;
• Develop and apply traditional supervised and unsupervised machine learning models for text classification tasks, including churn prediction and multi-label classification;
• Utilize advanced LLMs (e.g., Llama3) for extracting and analyzing relevant insights from textual data;
• Deploy machine learning models into production environments, ensuring scalability, performance, and robustness.

What you will need to bring:

• Master’s degree in Computer Science or a related field, or equivalent experience;
• Hands-on expertise in Programming & Query Languages like Python and SQL;
• Expertise in working with libraries such as Pandas, NumPy, and SciPy for data transformation, statistical analysis, and feature engineering;
• Proficient in utilizing Scikit-learn for building and evaluating machine learning models;
• Proficiency in using Llama3 or similar LLMs for natural language processing tasks;
• Experience with deploying machine learning solutions to production (e.g., using cloud services, containerization, or MLOps tools);
• Excellent communication and facilitation skills;
• Ability to work independently and as part of a team in a fast-paced environment.

What can Syone offer me:

• Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;
• Strong IT training plans;
• Professional evolution with intervention in ambitious technological projects, both national and internationally.

By applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing [email protected]. Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email [email protected].