ML ENGINEER (M/F/D)
Descrição da oferta de emprego
Join a leading company in the technology sector, renowned for its innovative solutions and commitment to excellence.
Operating globally, the company has a strong presence in various markets and a diverse team of professionals.
It focuses on delivering cutting-edge solutions to its clients, ensuring high standards of quality and performance.
Your New Role.
As a Machine Learning Engineer, you will play a crucial role in designing, developing, and maintaining machine learning models.
You will work with large language models (LLMs), natural language processing (NLP), and computer vision technologies to create innovative solutions that drive business value.
You will collaborate with stakeholders to deliver high-quality machine learning solutions that support business objectives.
Responsibilities.
Gather and understand specific requirements from business stakeholders.
Design, develop, and deploy machine learning models using LLM, NLP, and computer vision technologies.
Collaborate with data scientists, developers, and technical teams on solution definition and implementation.
Conduct data preprocessing, feature engineering, and model evaluation.
Participate in unit testing, integration testing, and user acceptance testing (UAT).
Maintain comprehensive documentation for each machine learning solution.
Identify and address issues or defects during the project's implementation phase.
Train end-users or support teams to ensure proper support for new machine learning solutions.
Requirements.
Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
Proven experience as a Machine Learning Engineer or in a similar role.
Proficiency in working with large language models (LLMs), natural language processing (NLP), and computer vision technologies.
Strong knowledge of machine learning concepts, including data preprocessing, feature engineering, and model evaluation.
Experience with machine learning frameworks and libraries (e.
., TensorFlow, PyTorch, scikit-learn).
Fluent in English and experience collaborating in a virtual environment with multicultural teams.
Strong analytical, problem-solving, planning, and organizational skills.
Ability to work independently and deliver multiple projects and support activities with minimal supervision.
What You'll Get in Return.
Opportunity to participate in highly recognized projects.
Excellent work environment.
Integration into a dynamic team.
Continuous training opportunities with certification in various technologies.
Career development and growth opportunities.
Possibility of a hybrid work model.
What You Need to Do Now.
Does this sound like the perfect role for you? Click 'apply now' to send us your CV, or to discuss the role further, get in touch with our Digital Technology team.
#LI-DNI # - Joao Carvalho
Detalhes da oferta
- Hays
- Indeterminado
- 13/12/2024
- 13/03/2025
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