Senior Data Scientist
emagine - Portugal
Data: há 14 horas
Cidade: Setúbal, Setúbal
Tipo de contrato: Tempo total

Boost IT is a Portuguese technology consultancy company, part of one of the most entrepreneurial groups in Portugal, with investment in over 30 companies.We want to be recognized as the most dynamic, energetic, and reliable company operating in the market — and for that, we want to count on you.If you're passionate about artificial intelligence and want to work on innovative and impactful technology projects, then this ad could be for you!We're looking for an AI/ML Engineer to join our growing team at Boost IT.
You will play a key role in designing, developing, and implementing machine learning solutions, helping to drive forward complex AI initiatives across different industries.ResponsibilitiesDevelop and implement advanced AI and machine learning models, including natural language processing solutions.Build, deploy, and maintain scalable APIs (RESTful, asynchronous, etc.)
for AI solutions.Handle large datasets and perform data processing, semantic analysis, and representation.Collaborate cross-functionally to identify opportunities for AI-driven improvements.Continuously evaluate and integrate emerging AI technologies (e.G., LLMs, Google Models, DeepL).Work with cloud environments (Azure, AWS, GCP) and containerization tools (e.G., Docker).Contribute to production-ready code and maintain clean, maintainable software practices.Must HavesBachelor's or advanced degree in Computer Science, AI, Mathematics, or related fields.3+ years of experience as an engineer (5+ if highest education is a bachelor's degree).Strong knowledge of AI/ML techniques: NLP, classification, clustering, optimization, deep neural networks.Solid grasp of the mathematical principles behind AI models.Experience in Python (OOP).
Additional programming languages are a plus.Familiarity with data structures, semantic extraction, and NLP.Proficiency with tools/libraries like Scikit-learn, SciPy, PyTorch, Keras, etc.Experience with Docker and at least one cloud provider (Azure, AWS, or GCP).Knowledge of LLMs and their applications.Fluent in English (written and spoken).Ability to work both independently and collaboratively in a team.Nice to HavesExperience with machine translation technologies (e.G., Google Models, DeepL).Experience deploying serverless cloud solutions.Frontend development knowledge.Deep Linux system knowledge and administration.Familiarity with ITIL practices.Prior experience in technology consultancy environments.
Next StepsIf you are interested in this opportunity, please apply or send your CV to ****** this isn't quite right for you but you know someone who might be a great fit, feel free to share this opportunity or send us their profile.
You will play a key role in designing, developing, and implementing machine learning solutions, helping to drive forward complex AI initiatives across different industries.ResponsibilitiesDevelop and implement advanced AI and machine learning models, including natural language processing solutions.Build, deploy, and maintain scalable APIs (RESTful, asynchronous, etc.)
for AI solutions.Handle large datasets and perform data processing, semantic analysis, and representation.Collaborate cross-functionally to identify opportunities for AI-driven improvements.Continuously evaluate and integrate emerging AI technologies (e.G., LLMs, Google Models, DeepL).Work with cloud environments (Azure, AWS, GCP) and containerization tools (e.G., Docker).Contribute to production-ready code and maintain clean, maintainable software practices.Must HavesBachelor's or advanced degree in Computer Science, AI, Mathematics, or related fields.3+ years of experience as an engineer (5+ if highest education is a bachelor's degree).Strong knowledge of AI/ML techniques: NLP, classification, clustering, optimization, deep neural networks.Solid grasp of the mathematical principles behind AI models.Experience in Python (OOP).
Additional programming languages are a plus.Familiarity with data structures, semantic extraction, and NLP.Proficiency with tools/libraries like Scikit-learn, SciPy, PyTorch, Keras, etc.Experience with Docker and at least one cloud provider (Azure, AWS, or GCP).Knowledge of LLMs and their applications.Fluent in English (written and spoken).Ability to work both independently and collaboratively in a team.Nice to HavesExperience with machine translation technologies (e.G., Google Models, DeepL).Experience deploying serverless cloud solutions.Frontend development knowledge.Deep Linux system knowledge and administration.Familiarity with ITIL practices.Prior experience in technology consultancy environments.
Next StepsIf you are interested in this opportunity, please apply or send your CV to ****** this isn't quite right for you but you know someone who might be a great fit, feel free to share this opportunity or send us their profile.
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