1,070 Lead AI Ml Engineer Computer Vision Remote jobs in Kenya
Lead Geotechnical Engineer, Remote Sensing & AI (Remote)
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the development and application of remote sensing technologies (e.g., satellite imagery, LiDAR, InSAR) for geotechnical analysis in mining environments.
- Design and implement AI/ML models for predicting and monitoring geological hazards, including landslides, rockfalls, and subsidence.
- Develop sophisticated geotechnical risk assessment frameworks, integrating data from various sources including remote sensing, ground-based sensors, and geological surveys.
- Oversee the interpretation of complex geospatial data sets to provide actionable insights for mine planning, operations, and safety management.
- Collaborate with geologists, mining engineers, data scientists, and IT specialists to integrate geotechnical insights into operational decision-making.
- Manage projects related to the deployment and calibration of monitoring systems and data acquisition platforms.
- Develop and maintain databases for geotechnical data, ensuring data integrity and accessibility.
- Conduct advanced geotechnical analyses and simulations to support mine design and risk mitigation strategies.
- Prepare detailed technical reports, presentations, and recommendations for management and operational teams.
- Stay abreast of the latest advancements in geotechnical engineering, remote sensing, AI/ML, and their applications in the mining industry.
- Mentor junior engineers and contribute to the professional development of the geotechnical team.
- Ensure compliance with industry best practices and relevant regulatory standards for mining operations and environmental monitoring.
- Develop and manage vendor relationships for specialized software and hardware.
- Contribute to the company's innovation strategy by identifying new technological opportunities.
- Represent the company at industry conferences and technical forums.
Qualifications:
- Master's degree or Ph.D. in Geotechnical Engineering, Mining Engineering, Geosciences, or a related field with a strong specialization in remote sensing and data science.
- Minimum of 8 years of progressive experience in geotechnical engineering, with a substantial focus on mining operations.
- Proven experience in the application of remote sensing technologies (e.g., SAR, optical imagery, LiDAR) for geotechnical analysis.
- Demonstrated expertise in developing and deploying AI/ML models for geohazard assessment or predictive modeling.
- Proficiency in relevant software, including geotechnical analysis tools (e.g., PLAXIS, FLAC), GIS software (e.g., ArcGIS, QGIS), and programming languages for data science (e.g., Python, R).
- Strong understanding of mining engineering principles and practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional leadership, communication, and interpersonal skills, with experience managing projects and remote teams.
- Ability to work independently and collaboratively in a fast-paced, remote environment.
- Experience in data management, visualization, and interpretation.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) for data processing is a plus.
- Commitment to safety, sustainability, and ethical engineering practices.
Lead AI & Machine Learning Engineer (Remote)
Posted 12 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and deployment of advanced AI and machine learning models and algorithms.
- Architect scalable and robust machine learning systems and pipelines.
- Collaborate with product managers and stakeholders to identify and prioritize AI initiatives.
- Conduct research and experimentation to evaluate new ML techniques and technologies.
- Develop and implement strategies for data preprocessing, feature engineering, and model training.
- Ensure the performance, reliability, and scalability of AI solutions.
- Oversee the testing, validation, and deployment of machine learning models into production environments.
- Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Contribute to the development of internal AI/ML best practices and standards.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of progressive experience in AI and machine learning engineering, with a proven track record of delivering impactful solutions.
- Deep understanding of ML algorithms, statistical modeling, and data mining techniques (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
- Proficiency in programming languages such as Python, R, Java, or Scala, and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Strong experience in data manipulation, feature engineering, and model evaluation.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Exceptional leadership, communication, and interpersonal skills for effective remote team management.
- Proven ability to lead technical projects and mentor engineering teams.
- Experience with MLOps and model deployment strategies is highly desirable.
- While this role is fully remote, proximity to **Malindi, Kilifi, KE**, could be beneficial for team alignment with other localized company functions.
Lead AI Research Scientist - Remote Machine Learning Models
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead research initiatives in AI and Machine Learning, focusing on developing innovative algorithms and models.
- Design, implement, and validate complex ML models for various applications.
- Conduct in-depth research on emerging AI trends and technologies.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor and guide junior researchers and engineers in the AI/ML domain.
- Develop frameworks and tools to support AI/ML development and experimentation.
- Identify opportunities to apply AI to solve challenging business problems.
- Stay current with the latest academic and industry advancements in AI.
- Present research progress and findings to technical and non-technical stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8+ years of experience in AI research and development, with a strong publication record.
- Deep expertise in areas such as deep learning, neural networks, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong mathematical and statistical background.
- Proven ability to lead research projects from conception to implementation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote research environment and collaborating effectively with distributed teams.
- Demonstrated ability to think creatively and independently.
- This position is fully remote, with the main focus on contributing to projects and research relevant to the technological landscape in and around Kitale, Trans-Nzoia, KE .
Lead AI Engineer (Remote)
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of AI and machine learning models and algorithms.
- Architect robust and scalable AI systems and solutions.
- Mentor and guide junior AI engineers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams to define AI project requirements and roadmaps.
- Stay abreast of the latest advancements in AI, ML, and data science.
- Develop and maintain AI infrastructure, including data pipelines and training environments.
- Evaluate and select appropriate tools, frameworks, and technologies for AI development.
- Conduct research and experiment with new AI techniques and approaches.
- Optimize AI models for performance, accuracy, and efficiency.
- Present technical findings and project progress to stakeholders.
- Ensure the ethical and responsible development of AI systems.
- Contribute to the overall technical strategy of the AI department.
- Manage project timelines and deliverables for AI initiatives.
- Troubleshoot and resolve complex technical challenges in AI development.
- Write high-quality, well-documented code.
- This is a fully remote role, although the company has a presence in **Ruiru, Kiambu, KE**.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with a strong portfolio of deployed solutions.
- Proven experience in leading AI projects and teams.
- Expertise in Python and major ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various machine learning algorithms (supervised, unsupervised, reinforcement learning).
- Experience with deep learning architectures (CNNs, RNNs, Transformers).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Ability to work independently and collaboratively in a remote environment.
Remote Lead Research Scientist - AI/ML
Posted 6 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and mentor a team of AI/ML researchers and engineers.
- Design and implement advanced AI/ML algorithms and models.
- Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, etc.
- Develop research proposals and secure funding for projects.
- Collaborate with product teams to integrate research findings into new products and features.
- Publish research findings in top-tier conferences and journals.
- Evaluate and adopt new technologies and methodologies.
- Oversee the experimental design and execution process.
- Present research progress and outcomes to senior management and stakeholders.
- Contribute to the strategic direction of AI/ML research within the company.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Significant research experience and a strong publication record in AI/ML.
- Proven experience leading research teams and managing projects.
- Deep expertise in at least one major area of AI/ML (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages such as Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation abilities.
- Ability to thrive in a fast-paced, collaborative remote research environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead AI Engineer - Emerging Technologies - Remote
Posted 6 days ago
Job Viewed
Job Description
Responsibilities:
- Lead a team of AI engineers in developing and deploying AI solutions.
- Define technical strategy and roadmap for emerging AI technologies.
- Design and architect scalable and robust AI systems.
- Develop and implement advanced machine learning and deep learning models.
- Oversee data engineering pipelines and model training processes.
- Implement MLOps best practices for efficient deployment and monitoring.
- Collaborate with product managers and stakeholders to define project requirements.
- Mentor junior engineers and foster a culture of technical excellence.
- Evaluate and integrate new AI technologies and tools.
- Ensure the performance, reliability, and security of AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of experience in AI/ML engineering and development.
- Proven experience leading technical teams and managing complex AI projects.
- Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch).
- Experience with cloud computing platforms (AWS, Azure, GCP) and associated AI services.
- Strong software engineering skills and experience with MLOps practices.
- Excellent problem-solving, analytical, and architectural design skills.
- Demonstrated ability to lead and motivate remote engineering teams.
- Strong communication and presentation skills.
- Experience with generative AI, NLP, or computer vision is a plus.
Lead AI & Machine Learning Engineer - Emerging Tech (Remote)
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced AI and Machine Learning models.
- Architect scalable and robust ML pipelines for data processing, training, and deployment.
- Conduct research into state-of-the-art AI techniques and algorithms.
- Collaborate with data scientists, software engineers, and product managers to deliver innovative solutions.
- Mentor and guide junior AI/ML engineers, fostering technical growth and best practices.
- Evaluate and select appropriate AI/ML frameworks and tools.
- Develop and maintain technical documentation for AI/ML systems.
- Stay abreast of the latest advancements in the AI and Machine Learning landscape.
- Optimize model performance, accuracy, and efficiency.
- Present findings and technical strategies to stakeholders and leadership.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of progressive experience in AI/ML engineering, with a strong portfolio of developed models and systems.
- Deep expertise in machine learning algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning).
- Proficiency in programming languages such as Python, R, and associated ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead technical projects and teams effectively in a remote setting.
- Strong communication and collaboration skills.
- Passion for pushing the boundaries of AI and its applications.
This position is fully remote, with the conceptual operational context for this role tied to Garissa, Garissa, KE . If you are a pioneering AI/ML leader ready to drive innovation from anywhere, we encourage you to apply.
Be The First To Know
About the latest Lead ai ml engineer computer vision remote Jobs in Kenya !
Lead Research Scientist - Remote Sensing & AI
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and mentor a team of remote research scientists.
- Develop and implement advanced AI and machine learning models for remote sensing data.
- Design and execute research experiments to test hypotheses.
- Analyze and interpret complex datasets, deriving actionable insights.
- Publish research findings in top-tier scientific journals and conferences.
- Collaborate with cross-functional teams to translate research into products.
- Contribute to grant writing and secure research funding.
- Oversee research project planning, execution, and reporting.
- Stay abreast of the latest advancements in AI, machine learning, and remote sensing.
- Foster a culture of innovation and scientific excellence.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, Geospatial Science, or a related field with a specialization in AI/ML and remote sensing.
- 8+ years of relevant research experience, including leadership roles.
- Proven expertise in machine learning, deep learning, computer vision, and geospatial data analysis.
- Experience with remote sensing platforms and data (e.g., satellite imagery, LiDAR).
- Strong programming skills (e.g., Python, R, TensorFlow, PyTorch).
- Demonstrated ability to lead research projects and teams in a remote environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record and proven ability to communicate complex ideas.
- Experience with cloud computing platforms (AWS, Azure, GCP).
Remote Lead Technical Sourcer - AI/ML Focus
Posted 18 days ago
Job Viewed
Job Description
- Design and implement cutting-edge sourcing strategies to identify passive and active candidates in highly competitive AI/ML domains.
- Leverage a wide array of tools and platforms, including advanced Boolean search, X-ray searches, social media, and professional networks.
- Build and nurture robust talent pipelines for current and future AI/ML engineering roles.
- Partner closely with technical recruiters and hiring managers to deeply understand role requirements and team dynamics.
- Develop compelling outreach messaging to effectively engage top talent.
- Screen candidates, conduct initial technical assessments, and present qualified prospects.
- Mentor and guide junior technical sourcers, fostering their growth and development.
- Track and analyze sourcing metrics to identify areas for improvement and report on progress.
- Stay informed about the latest trends and advancements in AI/ML technologies and the talent market.
- Contribute to the development of employer branding initiatives within the AI/ML community.
- Bachelor's degree in Computer Science, Engineering, Human Resources, or a related field.
- Minimum of 6 years of experience in technical sourcing, with a strong specialization in AI/ML or related advanced technology fields.
- Demonstrated success in sourcing for highly niche and specialized technical roles.
- Expert proficiency with sourcing tools and techniques, including advanced Boolean search and LinkedIn Recruiter.
- Deep understanding of AI/ML concepts, frameworks (TensorFlow, PyTorch), and programming languages (Python, C++).
- Excellent communication, interpersonal, and persuasion skills.
- Proven ability to mentor and lead other sourcers.
- Strong organizational skills and ability to manage multiple complex searches simultaneously in a remote environment.
- Analytical mindset with the ability to interpret data and metrics.
Lead AI Research Scientist - Remote
Posted 21 days ago
Job Viewed
Job Description
Key responsibilities include:
- Leading research projects in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Designing, implementing, and evaluating novel AI algorithms and models.
- Conducting rigorous scientific experiments, analyzing results, and documenting findings in research papers and internal reports.
- Collaborating with engineering teams to translate research prototypes into production-ready AI solutions.
- Mentoring and guiding junior research scientists and engineers in the AI team.
- Staying current with the latest academic research and industry trends in AI and machine learning.
- Contributing to the strategic direction of the company's AI research roadmap.
- Presenting research findings at international conferences and workshops.
- Developing and maintaining state-of-the-art AI development frameworks and tools.
- Fostering a culture of innovation and scientific excellence within the AI research group.
- Identifying opportunities for intellectual property creation and patent applications.
- Ensuring ethical considerations and fairness are embedded in AI development.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a substantial publication record in top-tier AI venues. A minimum of 5 years of hands-on research experience in AI/ML is required, with demonstrated leadership capabilities. Expertise in Python programming, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud computing platforms is essential. Strong analytical and problem-solving skills, coupled with excellent communication abilities for presenting complex ideas to both technical and non-technical audiences, are paramount. This is a unique opportunity for a talented AI researcher to make a significant impact in a fully remote capacity, contributing to the future of technology from Kisumu, Kisumu, KE .