Job Title: Python Data Analyst (1-3 years exp) Location: Pretoria East Job Type: Full-Time Introduction: We're seeking a meticulous and analytical Python Data Analyst to join our team. Ideal for those passionate about leveraging data for informed business decisions, with solid Python programming and data analysis skills. Key Responsibilities: Gather, clean, and interpret data from diverse sources with precision and relevance. Develop and manage data pipelines using Python libraries like Pandas, NumPy, and SQL. Conduct exploratory data analysis to unveil trends, patterns, and insights. Create and maintain dashboards and reports for stakeholders, utilizing visualization tools such as Matplotlib, Seaborn, or Tableau. Aid in building and applying machine learning models to address business challenges. Collaborate across teams to understand data requirements and deliver actionable insights. Document methodologies and results to ensure transparency and reproducibility. Requirements: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 1-3 years of data analysis experience, emphasizing Python programming. Proficiency in Python and core libraries (Pandas, NumPy, SciPy). Familiarity with SQL and database management. Understanding of data visualization methods. Basic grasp of machine learning principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Desirable: Experience with machine learning frameworks (eg, scikit-learn, TensorFlow). Previous industry-specific experience. Certification in Python programming or data analytics.
26/04/2024
Job Title: Python Data Analyst (1-3 years exp) Location: Pretoria East Job Type: Full-Time Introduction: We're seeking a meticulous and analytical Python Data Analyst to join our team. Ideal for those passionate about leveraging data for informed business decisions, with solid Python programming and data analysis skills. Key Responsibilities: Gather, clean, and interpret data from diverse sources with precision and relevance. Develop and manage data pipelines using Python libraries like Pandas, NumPy, and SQL. Conduct exploratory data analysis to unveil trends, patterns, and insights. Create and maintain dashboards and reports for stakeholders, utilizing visualization tools such as Matplotlib, Seaborn, or Tableau. Aid in building and applying machine learning models to address business challenges. Collaborate across teams to understand data requirements and deliver actionable insights. Document methodologies and results to ensure transparency and reproducibility. Requirements: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 1-3 years of data analysis experience, emphasizing Python programming. Proficiency in Python and core libraries (Pandas, NumPy, SciPy). Familiarity with SQL and database management. Understanding of data visualization methods. Basic grasp of machine learning principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Desirable: Experience with machine learning frameworks (eg, scikit-learn, TensorFlow). Previous industry-specific experience. Certification in Python programming or data analytics.
Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI/ML solutions for mobile devices in the next generation wireless networks. Responsibilities: Design and develop efficient AI/ML models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/ML models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges.
24/04/2024
Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI/ML solutions for mobile devices in the next generation wireless networks. Responsibilities: Design and develop efficient AI/ML models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/ML models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges.
Our partner is seeking an Architect service for Our partner Academy. As an Our partner Academy Architect, the service is responsible for the Architecture of the Learning Management System (LMS) in SAP SuccessFactors, in terms of maintenance and processes. Together with Our partner Academy Designers and The Training Center, the service guides the team in how to configure the training paths to be deployed in the LMS, tests this configuration in the test environment, provides guidance for the use of (new) features, and helps integrate the new training paths into the LMS according to defined guidelines. The service will also closely work together with the Business Analysts and the external supplier for the resolution of technical configuration design and user issues related to the learning journeys uploaded in the LMS. The service will include: - Working together with Our partner Academy Designers & Training Center to work out and test the LMS configurations for new training paths, providing guidance and advice on potential (new - unused) LMS features. Testing these configurations and keeping them as simple as possible. - Working out new and simpler LMS configurations for complex training paths and liaising with the reporting specialist to ensure the new configurations fit the reporting requirements. - Supporting Our partner Academy Training Center with the resolution of technical user issues in the LMS. If unable to resolve the issue, transferring the issue to Level 3 support via a Jira-ticket. Following up on the Jira-tickets and communicating the solutions within Our partner Academy. - Based on the above activities, creating and updating documentation (Work Instructions and Quick Reference Guides). - Liaising with all stakeholders (Designers, Training Center, colleague-Architects) within Our partner Academy to transfer knowledge about new and yet unused LMS features that might be of value. - Focus on user experience and simplification. Must-have requirements: - Fluent in Dutch, French, and English. Teamwork with businesses or external partners and can easily build relationships of trust with them. - More than 7 years of experience in configuring and using the LMS SAP SuccessFactors as a Configuration Consultant (knowledge of Items, Curriculum, Programs, Assignment Profiles, Exams, and the logic behind it). - Preferably certified in LMS SAP SuccessFactors (Learning). - Passionate analyst; the satisfaction of internal customers is essential. Additional requirements: - An eye for good documentation and can write and explain (train) qualitative guidelines and instructions. - Dare to challenge the business requirements with the goal to create simplification in the LMS. - Are organized and manage your priorities effectively. Additional info: - Start date: beginning of April 2024 - End date: 31/12/2024 - Work location: Center of Brussels & Schaerbeek (remote work possible) - Work regime: full-time
23/04/2024
Project-based
Our partner is seeking an Architect service for Our partner Academy. As an Our partner Academy Architect, the service is responsible for the Architecture of the Learning Management System (LMS) in SAP SuccessFactors, in terms of maintenance and processes. Together with Our partner Academy Designers and The Training Center, the service guides the team in how to configure the training paths to be deployed in the LMS, tests this configuration in the test environment, provides guidance for the use of (new) features, and helps integrate the new training paths into the LMS according to defined guidelines. The service will also closely work together with the Business Analysts and the external supplier for the resolution of technical configuration design and user issues related to the learning journeys uploaded in the LMS. The service will include: - Working together with Our partner Academy Designers & Training Center to work out and test the LMS configurations for new training paths, providing guidance and advice on potential (new - unused) LMS features. Testing these configurations and keeping them as simple as possible. - Working out new and simpler LMS configurations for complex training paths and liaising with the reporting specialist to ensure the new configurations fit the reporting requirements. - Supporting Our partner Academy Training Center with the resolution of technical user issues in the LMS. If unable to resolve the issue, transferring the issue to Level 3 support via a Jira-ticket. Following up on the Jira-tickets and communicating the solutions within Our partner Academy. - Based on the above activities, creating and updating documentation (Work Instructions and Quick Reference Guides). - Liaising with all stakeholders (Designers, Training Center, colleague-Architects) within Our partner Academy to transfer knowledge about new and yet unused LMS features that might be of value. - Focus on user experience and simplification. Must-have requirements: - Fluent in Dutch, French, and English. Teamwork with businesses or external partners and can easily build relationships of trust with them. - More than 7 years of experience in configuring and using the LMS SAP SuccessFactors as a Configuration Consultant (knowledge of Items, Curriculum, Programs, Assignment Profiles, Exams, and the logic behind it). - Preferably certified in LMS SAP SuccessFactors (Learning). - Passionate analyst; the satisfaction of internal customers is essential. Additional requirements: - An eye for good documentation and can write and explain (train) qualitative guidelines and instructions. - Dare to challenge the business requirements with the goal to create simplification in the LMS. - Are organized and manage your priorities effectively. Additional info: - Start date: beginning of April 2024 - End date: 31/12/2024 - Work location: Center of Brussels & Schaerbeek (remote work possible) - Work regime: full-time