Devoteam Telecom Sector \\\| Data Scientist ML/AI \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Telecom Sector \\\| Data Scientist ML/AI Full-time Contract type: Permanent contract Company Description At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of 1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Lets fuse creativity with technology together and build innovative solutions that actively change things for the better. Job Description Develop, train, and deploy Machine Learning/AI models applied to the companys products and services. Prototype AI/ML solutions to meet business requirements. Work with data for analysis, feature engineering, and model experimentation. Collaborate with data engineers to access and manipulate data efficiently. Contribute to the continuous improvement of ML/AI workflows and model performance. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field; 2+ years of experience working with Machine Learning/AI models and data-driven solutions; Strong programming skills in Python and R (optional: Julia or Go for performance); Experience with ML/AI frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, HuggingFace, XGBoost, or LightGBM; Proficiency in data manipulation using Pandas, NumPy, and SciPy; Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly; Familiarity with development tools like Jupyter, Git, and Docker for model deployment; Basic knowledge of SQL and optional NoSQL databases for data access; Solid understanding of statistical and machine learning concepts including regression, classification, clustering, and deep learning; Relevant certifications in ML/AI or cloud platforms (e.g., AWS, Azure, GCP) are a plus. Additional Information The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities. Job Location Google Maps requires functional cookies to be enabled I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend Posted by Daniela Martins share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Telecom Sector \\\| Data Scientist ML/AI Av. Dom João II, 1990 Lisboa, Portugal Full-time I'm interested I'm interested

The role requires a Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Candidates must have at least two years of experience with machine learning/AI models and data-driven solutions. Strong programming skills in Python and R are necessary, with optional experience in Julia or Go. Proficiency in ML/AI frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, HuggingFace, XGBoost, or LightGBM is expected. Experience with data manipulation tools like Pandas, NumPy, and SciPy, along with data visualization tools such as Matplotlib, Seaborn, or Plotly, is also required. Familiarity with development tools like Jupyter, Git, and Docker is needed, as is basic knowledge of SQL and optional NoSQL databases. A solid understanding of statistical and machine learning concepts, including regression, classification, clustering, and deep learning, is essential.