Open Vacancies at Ctrack

Job Overview:

We are seeking a highly skilled and motivated Product Engineer to join our dynamic team at Ctrack. The ideal candidate will have a strong background in both computer engineering and electrical engineering. This role involves a blend of new product research and development, prototyping, advanced problem-solving, and supporting product management with product launches. The Product Engineer will play a crucial role in driving innovation and ensuring the successful delivery of cutting-edge products.

Job Responsibilities:

New Product R&D:

• Conduct research to identify new product opportunities and improvements.
• Develop and test new product concepts and prototypes.
• Collaborate with cross-functional teams to bring new products from concept to market.

Prototyping New Ideas:

• Design and build prototypes to validate new product ideas.
• Perform iterative testing and refinement of prototypes.
• Document and present prototype development progress and results.

Advanced Problem Solving:

• Analyze complex technical problems and develop innovative solutions.
• Troubleshoot and resolve product issues during development and post-launch.
• Implement best practices for problem-solving and continuous improvement.

Product Launch Support:

• Assist the Product Management Specialist with product launch activities.
• Provide technical expertise and support during product launches.
• Ensure a smooth transition from development to production.

Additional Responsibilities:

Technical Documentation:

• Create and maintain detailed technical documentation for new products.
• Ensure all documentation is accurate, comprehensive, and up-to-date.

Quality Assurance: Technical Documentation:

• Develop and implement quality assurance processes for new products.
• Conduct rigorous testing to ensure product reliability and performance.

Customer Feedback Integration:

• Gather and analyze customer feedback to inform product improvements.
• Work closely with customer support teams to address technical issues.

Compliance and Standards:

• Ensure all products comply with industry standards and regulations.
• Stay updated on relevant industry trends and standards.

Attributes:

• Innovative and creative thinker.
• Proactive and results-oriented.
• Strong organizational and time management skills.
• Ability to adapt to changing priorities and work in a fast-paced environment.

Skills:

• Strong technical skills in both computer and electrical engineering.
• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
• Attention to detail and a commitment to quality.

Qualifications and Experience:

• Bachelor's degree in Computer Engineering and Electrical Engineering (required).
• Advanced degree in a related field (preferred).
• Minimum of 3-5 years of experience in product engineering or a related field.
• Proven track record of successful product development and launch.
• Experience with R&D, prototyping, and advanced problem-solving.

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Job Overview:

The Junior Data Scientist will play a crucial role in shaping Ctrack’s data strategy and supporting the Business Excellence division. Reporting to the Lead Data Scientist, the candidate will contribute to data-driven decision-making, predictive modeling, and process optimization.

Job Responsibilities:

Data Analysis and Modeling:

• Collaborate with cross-functional teams to understand business requirements and identify data-driven solutions.
• Clean, preprocess, and analyze large datasets using Python, R, SQL, or similar tools.
• Develop predictive models, perform statistical analysis, and create visualizations to extract actionable insights.

Machine Learning and AI:

• Apply machine learning techniques (e.g., regression, classification, clustering) to solve business problems.
• Explore and implement deep learning models (e.g., neural networks) for predictive tasks.
• Optimize model performance through feature engineering and hyperparameter tuning.

Data Strategy and Governance:

• Contribute to the development of Ctrack’s data strategy, ensuring alignment with organizational goals.
• Assist in defining data standards, data quality metrics, and data governance processes.
• Monitor data pipelines and ensure data accuracy, consistency, and security.

Collaboration and Communication:

• Work closely with stakeholders to understand their data needs and provide actionable insights.
• Present findings and recommendations to both technical and non-technical audiences.
• Collaborate with the Lead Data Scientist on research projects and innovation initiatives.

Behavioural Competencies:

• Curious and eager to learn new techniques and tools.
• Excellent communication skills, both written and verbal.
• Collaborative team player with a positive attitude.
• Passionate about leveraging data to drive business impact.

Skills:

• Proficiency in Python or R for data analysis and modeling.
• Familiarity with SQL databases and data manipulation.
• Basic understanding of machine learning algorithms and statistical methods.
• Strong problem-solving skills and attention to detail.

Qualifications and Experience:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Relevant certifications in data science, machine learning, or AI (e.g., Coursera, Azure, MS Certified).

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Job Overview:

We are looking for a Data Science Engineer to work alongside our senior data scientists on pioneering new data and analytics products. The ideal candidate will possess a strong background in data science, machine learning, and software engineering, with a proven ability to implement effective data solutions in Azure.

Job Responsibilities:

• Collaborate with senior data scientists to develop and implement new data science initiatives.
• Design and build robust data pipelines in Azure to support Data Science initiatives.
• Manage and report on cloud costing to ensure efficient resource utilization.
• Assist in analysing IoT data and conduct governance tests to ensure data integrity and compliance.
• Contribute to the development of the next generation of vehicle analytics based on mechanical engineering principles.
• Conduct data science experiments focused on feature engineering for machine learning models.
• Develop MLOps pipelines to monitor and optimize the performance of data science models.
• Innovate and develop AI-driven projects utilizing large language models (LLMs) and computer vision technologies.

Behavioural Competencies:

• Passionate about combining mechanical engineering with cutting-edge data science and AI techniques.

• Innovative thinker with a strong analytical mindset, capable of conducting complex data analysis and engineering-focused machine learning experiments.
• Excellent communication and interpersonal skills, with the ability to synergize and work effectively within cross-functional teams. Demonstrated ability to collaborate and coordinate with other professionals to drive projects to completion.
• Keen interest in the automotive or telematics industry, with a motivation to stay at the forefront of technological advancements.

Skills:

• Strong analytical skills and data-driven decision-making abilities
• Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams.
• Strategic thinker with the ability to translate market trends and customer insights into actionable product strategies.
• Experience working in agile development environments and familiarity with product management tools and methodologies.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Passion for technology, innovation, and delivering exceptional user experiences.
• Experience working in diverse cultural contexts, adapting strategies accordingly.

Qualifications and Experience:

• Bachelor’s or Degree in Mechanical Engineering with a strong emphasis on data science and AI applications.
• Proficient in Azure for building and managing data pipelines, with a focus on integrating mechanical engineering data.
• Solid experience in mechanical systems analysis and applying AI and machine learning techniques to solve complex engineering problems.
• Knowledge of IoT data governance and compliance, particularly in mechanical contexts.
• Demonstrable expertise in MLOps and monitoring AI model performance in engineering applications.
• Strong analytical skills, with the ability to apply mechanical engineering principles to data-driven solutions.
• At least 3 years of professional experience in a role that blends mechanical engineering with data science or AI, with a proven track record of implementing practical solutions.

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Job Overview:

As a UI/UX Developer, you will play a crucial role in enhancing the user experience across our product portfolio. You'll collaborate with cross-functional teams to design and implement intuitive interfaces for our browser application, mobile app, and Business Analytics module (powered by QlikSense). Your work will directly impact user satisfaction, engagement, and overall product success.

Job Responsibilities:

User Interface Design:

• Create visually appealing and user-friendly interfaces for our web and mobile applications.
• Collaborate with product managers, designers, and developers to translate wireframes and mockups into functional UI components.
• Ensure consistency in design elements, typography, and branding across all products.

Front-End Development:

• Implement responsive designs using HTML, CSS, and JavaScript.
• Work closely with back-end developers to integrate UI components with server-side logic.
• Ensure cross-browser compatibility and performance optimization.

Business Analytics Module:

• Understand the QlikSense platform and leverage it to create insightful visualizations and dashboards.
• Collaborate with data analysts to design meaningful data representations.
• Customize the BI module to meet specific client requirements.

Accessibility and Usability:

• Ensure compliance with accessibility standards (WCAG) and best practices.
• Conduct usability testing to identify areas for improvement.

Documentation and Communication:

• Document design guidelines, patterns, and component libraries.
• Communicate design decisions effectively to stakeholders.

Attributes:

• Strong communication skills.
• Ability to work collaboratively in a cross-functional environment.
• Problem-solving mindset.
• Creativity and attention to detail.

Skills:

• Proficiency in HTML, CSS, JavaScript, and relevant front-end frameworks (e.g., React, Angular, Vue.js).
• Familiarity with design tools (e.g., Sketch, Figma, Adobe XD).
• Understanding of user-centered design principles.
• Experience with QlikSense or other BI tools is a plus.

Qualifications and Experience:

• Bachelor's degree in Computer Science, Interaction Design, or a related field.
• Proven experience (X years) as a UI/UX Designer or Front-End Developer.
• Strong portfolio showcasing UI/UX projects and responsive designs.