Functions:

• – Leading and overseeing the end-to-end project lifecycle, ensuring projects are delivered on time, within scope, and within budget.
• – Collaborating closely with cross-functional teams, including Machine Learning Engineers, Data Scientists, Network Engineers, and stakeholders, to ensure seamless project coordination.
• – Defining project objectives, scope, deliverables, and success criteria, and communicating them effectively to the team.
• – Developing and managing project plans, schedules, and budgets, identifying and mitigating risks, and ensuring project milestones are met.
• – Monitoring project progress, tracking project activities, and providing regular status updates to stakeholders.
• – Identifying and resolving project-related issues, bottlenecks, and conflicts, ensuring effective resource allocation.
• – Ensuring compliance with project methodologies, quality standards, and best practices.
• – Building and maintaining strong relationships with clients, partners, and stakeholders to ensure project alignment with business goals.
•  
• Profile:
• – Bachelor’s degree in Project Management, Business Administration, or related field (Master’s preferred).
• – Proven experience as a Project Manager, preferably in technology, telecommunications, or related fields.
• Strong project management skills, including project planning, execution, and risk management.
• – Exceptional leadership, communication, and interpersonal skills.
• – Ability to manage multiple projects concurrently and adapt in a dynamic environment.
• – Familiarity with Agile and Waterfall project management methodologies.
• – PMP, CAPM, or other relevant certifications are a plus.
•  

Functions:

• – Collaborating with cross-functional teams to understand project objectives and develop data-driven solutions.
• – Collecting, cleaning, and preprocessing data from various sources to ensure high-quality analysis.
• – Conducting exploratory data analysis to identify trends, patterns, and correlations.
• – Developing predictive models, statistical analyses, and machine learning algorithms to extract insights and make informed decisions.
• – Evaluating model performance, fine-tuning parameters, and optimizing models for accuracy and efficiency.
• – Presenting findings and insights to both technical and non-technical stakeholders.
• – Contributing to the development of data-driven features and tools within our platform.
• – Staying up-to-date with the latest advancements in data science and AI technologies.
•  
• Profile:
• – Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field (Master’s preferred).
• – Proven experience as a Data Scientist, with a strong track record of data analysis and modeling.
• – Proficiency in programming languages such as Python or R for data analysis and visualization.
• – Expertise in statistical analysis, machine learning algorithms, and predictive modeling.
• – Experience with data preprocessing, cleaning, and feature engineering techniques.
• – Familiarity with data visualization tools and libraries.
• – Strong problem-solving skills and the ability to communicate complex findings in a clear and understandable manner.
• – Team player with strong collaboration and communication skills.

Functions:

• – Collaborating with cross-functional teams to understand project requirements and design Machine Learning solutions.
• – Developing, training, and fine-tuning Machine Learning models using state-of-the-art techniques and libraries.
• – Implementing data preprocessing, feature engineering, and model validation to ensure high-quality predictions.
• – Conducting exploratory data analysis to gain insights and drive informed model development decisions.
• – Integrating Machine Learning models into our platform, ensuring scalability, efficiency, and reliability.
• – Optimizing and fine-tuning models for improved performance and accuracy.
• – Collaborating with Data Scientists and Network Engineers to ensure seamless integration of Machine Learning solutions.
• – Staying updated with the latest developments in Machine Learning and AI technologies.
•  

Profile:

• – Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• – Proven experience as a Machine Learning Engineer, with a track record of developing and deploying ML models.
• – Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn.
• – Strong understanding of Machine Learning algorithms, data structures, and statistical analysis.
• – Experience with data preprocessing, feature engineering, and model evaluation techniques.
• – Solid understanding of cloud technologies and distributed computing.
• – Excellent problem-solving skills and a proactive approach to addressing challenges.
• – Strong communication and teamwork skills.

Functions:

• – Collaborating with cross-functional teams to understand network requirements and design solutions.
• – Designing, configuring, and maintaining network components to ensure reliability and performance.
• – Troubleshooting network issues, identifying root causes, and implementing solutions.
• – Monitoring network performance and capacity, implementing upgrades as needed.
• – Implementing security measures to protect network systems and data.
• – Collaborating with Machine Learning Engineers and Data Scientists to integrate network data into analytics and prediction models.
• – Staying up-to-date with the latest developments in networking technologies.
•  

Profile:

• – Bachelor’s degree in Computer Science, Network Engineering, or related field (Master’s preferred).
• – Proven experience as a Network Engineer, with a strong background in network design, implementation, and maintenance.
• – Proficiency in network protocols, routing, and switching technologies.
• – Experience with network security and firewall configurations.
• – Familiarity with cloud networking and virtualization technologies.
• – Strong problem-solving skills and the ability to diagnose and resolve network issues.
• – Excellent communication and collaboration skills.

Functions:

• – Development of native Android applications;
• – Definition of mobile applications’ architecture;
• – Corrective and adaptive maintenance.

Profile:

• – Degree in Computer Engineering or another similar area;
• – Knowledge in Java and Android SDK (Kotlin is a plus);
• – Knowledge in GIS/Map applications is a plus;
• – Autonomous and with a spirit of initiative;
• – Team player with good communication skills.

Functions:

• – Develop Web GIS applications;
• – Contribute with clean, safe and easy-to-maintain code;
• – Prototyping and construction of highly executed and flexible components;
• – Stay up to date with front-end frameworks and design patterns;

Profile:

• – Degree in Computer Engineering or another similar area;
• – Knowledge of developing Web apps (Web GIS is a plus);
• – Interest and taste for frontend and UX/UI development;
• – Ability to plan and create web projects of diversified complexity;
• – Specialized knowledge in HTML/CSS/JavaScript;
• – Experienced with JavaScript Frameworks such as Vue.js, Angular or React (Vue.js is a plus);
• – Autonomous and with a spirit of initiative;
• – Team player with good communication skills.

Functions:

• – API development for high traffic demand;
• – Database development;
• – Corrective and adaptive maintenance.

Profile:

• – Degree in Computer Engineering or another similar area;
• – Knowledge of developing REST APIs;
• – Ability to plan and create web projects of diversified complexity;
• – Specialized knowledge in PHP;
• – Experienced with PHP Frameworks such as Laravel, Lumen or Symfony (Laravel is a plus);
• – Autonomous and with a spirit of initiative;
• – Team player with good communication skills.

• Functions:
• – Manage each project’s scope and timeline;
• – Coordinate sprints, retrospective meetings and daily stand-ups;
• – Coach team members in Agile frameworks;
• – Facilitate internal communication and effective collaboration;
• – Be the point of contact for external communications (e.g. from customers or stakeholders);
• – Work with product owners to handle backlogs and new requests;
• – Resolve conflicts and remove obstacles that occur;
• – Help teams implement changes effectively;
• – Ensure deliverables are up to quality standards at the end of each sprint.
• Profile:

– Familiarity with software development;

– Good knowledge of Scrum techniques and artefacts (such as the definition of done, user stories, automated testing, backlog refinement);

– Good knowledge of other Agile frameworks;

– Excellent communication and servant leadership skills;

– Problem-solving and conflict-resolution ability;

– Scrum master certification is a plus.

Responsibilities

• – Responsible for the daily support to the operations and fulfilment of SLAs.
• – Support the commercial area (technical advice of solutions, enhance the products in the portfolio).
• – Communicate the vision and strategy of the product to the commercial areas. 

Profile/Requirements

• – A degree in Network Engineering/Telecommunications or similar (preferable).
• – Experience in Telco technologies.
• – Experience in making commercial proposals.
• – Experience in telecommunications operators (preferable).
• – Good knowledge of English and/or French language.
• – Organization and analytical capacity.
• – Capacity to work as part of a team.
• – Good interpersonal relationship.
• – Availability for international trips.

Functions:

• – Be responsible for gathering and evaluating user requirements in collaboration with Product Managers and Developers;
• – Creating user flows, wireframes, prototypes and mockups;
• – Creating storyboards, process flows and sitemaps;
• – Identifying and troubleshooting UX problems.

Profile:

• – Experience with Web/Mobile GIS applications is a plus;
• – Experience with layouts, mockups, wireframes and prototypes;
• – Good knowledge in Illustrator, InDesign and Photoshop;
• – Good knowledge Sketch, InVision, etc;
• – Knowledge in HTML, CSS and JavaScript (plus);
• – Autonomous and with a spirit of initiative;
• – Team player with good communication skills.

Functions

– Assist in the execution of consulting projects, leveraging GIS technology to provide valuable insights to our clients

– Collaborate with team members to deliver technical projects, ensuring high-quality results

– Manage and manipulate geospatial data in a multi-user environment, including creating, editing, and converting GIS data

– Adhere to cartographic design standards to create visually appealing and effective maps

– Apply your knowledge of map projections and data transformations to ensure accurate and reliable spatial data

– Perform GIS data creation tasks such as digitization, conversion of non-spatial data, editing, and standardization/compilation

– Organize and structure spatial data files on servers and in various database types, maintaining data versioning as required

– Use GIS software, server-based applications, and web-based applications to analyze and visualize data

– Familiarity with a range of software tools for GIS map creation and maintenance, data analysis, Internet-enabled GIS, and standard software, databases, and operating systems used in City applications

– Provide training and support to clients during the onboarding process