75 IT Integration jobs in Kenya
Automotive Software Integration Specialist - Remote
Posted 5 days ago
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AI Integration Specialist
Posted today
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Key Responsibilities:
- Design, develop, and deploy AI and machine learning models.
- Integrate AI solutions into existing business processes and systems.
- Analyze business needs and identify opportunities for AI implementation.
- Collaborate with data scientists and engineers on model development and refinement.
- Utilize programming languages such as Python and relevant AI libraries.
- Manage the end-to-end lifecycle of AI projects.
- Monitor and optimize the performance of deployed AI models.
- Stay abreast of the latest advancements in AI and machine learning.
- Document AI solutions, methodologies, and best practices.
- Present technical findings and recommendations to stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, AI, Data Science, or a related quantitative field.
- Proven experience in developing and deploying AI/ML models.
- Proficiency in Python and AI libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
- Strong understanding of machine learning algorithms, NLP, and computer vision.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Strong communication and collaboration skills for effective teamwork.
Educational Technology Integration Specialist
Posted today
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Remote Systems Integration Technician
Posted today
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Responsibilities:
- Provide remote technical assistance for the installation and setup of industrial equipment.
- Guide on-site teams through troubleshooting and repair processes.
- Diagnose and resolve technical issues related to electromechanical systems and automation.
- Interpret technical drawings, schematics, and manuals to provide accurate guidance.
- Develop and maintain comprehensive technical documentation and support materials.
- Collaborate with engineering and support teams to improve installation procedures.
- Ensure adherence to safety standards and quality control during installation phases.
- Manage communication channels with field technicians effectively.
- Conduct remote system checks and performance validations.
- Contribute to the continuous improvement of remote support services.
Qualifications:
- Diploma or Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field.
- Minimum of 5 years of experience in installation, maintenance, or technical support of industrial systems.
- Proven experience with automation and control systems.
- Strong understanding of mechanical and electrical principles.
- Excellent troubleshooting and problem-solving skills.
- Proficiency in reading and interpreting technical documentation.
- Exceptional communication, particularly verbal and written, for remote guidance.
- Experience with video conferencing and remote support tools.
- Ability to work independently and manage time effectively in a remote setting.
Remote AI Integration Specialist
Posted today
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The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A strong portfolio demonstrating successful AI integration projects is essential. Proven experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is required. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and their AI/ML services, is highly desirable. You should have experience with API integrations, data pipelines, and MLOps practices. Excellent analytical, problem-solving, and communication skills are paramount for translating complex technical concepts into actionable strategies for stakeholders. The ability to work independently, manage complex projects, and adapt to rapidly evolving AI technologies is crucial. This remote role offers the flexibility to contribute your expertise from anywhere, requiring strong self-management and collaboration skills. If you are passionate about leveraging AI to drive business innovation and have a proven track record of successful AI implementation, we encourage you to apply.
Aerospace Systems Integration Engineer
Posted 1 day ago
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Key Responsibilities:
- Integrate various aerospace subsystems, including avionics, propulsion, and structural components.
- Develop and execute system integration test plans and procedures.
- Analyze system performance data and identify potential issues or areas for improvement.
- Troubleshoot and resolve integration problems, collaborating with cross-functional engineering teams.
- Document system requirements, design specifications, and test results.
- Ensure compliance with aerospace industry standards and regulations.
- Participate in design reviews and provide technical recommendations.
- Develop simulation models for system behavior analysis.
- Manage interfaces between different systems and components.
- Support the development of operational procedures and training materials.
- Stay abreast of advancements in aerospace technology and systems integration techniques.
- Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related field. Master's degree preferred.
- Minimum of 5+ years of experience in aerospace systems engineering or integration.
- Strong understanding of avionics, flight control systems, or propulsion systems.
- Experience with systems integration methodologies and tools.
- Proficiency in simulation software (e.g., MATLAB/Simulink) is highly desirable.
- Knowledge of aerospace standards such as DO-178C, DO-254, or MIL-STD.
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and collaboration abilities, essential for remote teamwork.
- Ability to manage complex projects and deliverables effectively.
- Familiarity with systems engineering V-model or Agile development processes.
Automotive Systems Integration Specialist
Posted 2 days ago
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Aerospace Systems Integration Engineer
Posted 2 days ago
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Responsibilities:
- Lead the integration of complex aerospace systems, including avionics, controls, and software.
- Define system requirements, architecture, and interface control documents (ICDs).
- Oversee the integration of hardware and software components.
- Develop and execute system integration test plans and procedures.
- Analyze test results and troubleshoot integration issues.
- Collaborate with cross-functional engineering teams to ensure seamless system performance.
- Participate in design reviews and technical coordination meetings.
- Ensure compliance with aerospace standards and safety regulations.
- Develop and maintain system documentation and reports.
- Contribute to system design verification and validation activities.
- Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, or a related field.
- Minimum of 6 years of experience in aerospace systems engineering and integration.
- Proven experience with avionics, flight control systems, or related aerospace technologies.
- Proficiency in systems modeling and simulation tools (e.g., MATLAB/Simulink).
- Strong understanding of aerospace standards and best practices.
- Excellent analytical, problem-solving, and troubleshooting skills.
- Exceptional communication and collaboration skills for remote teamwork.
- Ability to manage complex projects and meet demanding timelines.
Aviation Systems Integration Specialist
Posted 3 days ago
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Project Manager - AI Integration
Posted 4 days ago
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Responsibilities:
- Lead and manage AI and machine learning projects from conception to completion.
- Develop comprehensive project plans, including scope, goals, timelines, and resource allocation.
- Coordinate and collaborate with cross-functional teams, including AI/ML engineers, data scientists, and business analysts.
- Manage project budgets, track expenses, and ensure financial objectives are met.
- Identify and mitigate project risks and issues proactively.
- Communicate project status, updates, and outcomes to all stakeholders.
- Ensure the successful integration of AI solutions into existing business processes.
- Facilitate user acceptance testing and provide post-implementation support.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- Proven experience as a Project Manager, with a strong focus on AI or technology-driven projects.
- Solid understanding of AI, machine learning, and data science concepts.
- Proficiency in project management methodologies (e.g., Agile, Scrum, Waterfall).
- Excellent leadership, communication, and stakeholder management skills.
- Experience with project management software (e.g., Jira, Asana, MS Project).
- Ability to manage multiple projects simultaneously in a dynamic environment.