drjobs Data Scientist LLMs

Data Scientist LLMs

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1 Vacancy
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Job Location drjobs

Lisbon - Portugal

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Boost IT is a Portuguese technology consultancy integrated in a business group that offers a portfolio of innovative solutions in the increasingly demanding and dynamic technology market.

We are known for being the most dynamic energetic and reliable company in the market.
The management team has more than 10 years of experience delivering technological solutions in Portugal and internationally.

Our customers can count on a leading partner in services of excellence flexibility and delivery capacity associated with high quality standards.

We are passionate about people who are passionate about technology.

Tasks

  • Develop and implement machine learning models specifically large language models (LLMs) to enhance datadriven decisionmaking processes.
  • Collaborate with crossfunctional teams to identify and prioritize business problems that can be solved through advanced analytics and AI applications.
  • Analyze large datasets to extract insights and detect patterns that can inform product development and innovation strategies.
  • Design and conduct experiments to evaluate the performance and effectiveness of LLMs ensuring continuous improvement and scalability.
  • Communicate complex datadriven insights and recommendations to both technical and nontechnical stakeholders clearly and effectively.

Requirements

Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field.
3 years of handson experience in machine learning and AI development.
Strong expertise in Generative AI (model training finetuning and deployment).
Experience with opensource and commercial LLMs.
Proficiency in implementing RAG techniques.
Experience with vector databases.
Advanced programming skills in Python with frameworks like TensorFlow PyTorch and Hugging Face.
Deep understanding of NLP techniques and architectures.
Practical experience with traditional AI/ML methods such as decision trees SVMs and neural networks. Practical experience with traditional AI/ML methods such as decision trees SVMs clustering and neural networks.
Familiarity with cloud platforms (AWS GCP or Azure) for AI/ML deployments.
Knowledge of MLOps practices and tools.
Strong problemsolving and analytical skills.
Effective communication in public and teamwork skills.
Fluency in English (C1 level or higher) is mandatory.

Employment Type

Full Time

Company Industry

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