2,494 Lead AI Research Scientist Computer Vision jobs in Kenya
Lead Research Scientist - AI & Machine Learning
Posted 4 days ago
Job Viewed
Job Description
- Defining and executing a research roadmap in AI/ML.
- Leading and mentoring a team of research scientists and engineers.
- Developing novel AI algorithms and models for complex problems.
- Designing and conducting rigorous experiments to validate hypotheses.
- Analyzing large datasets to extract meaningful insights.
- Collaborating with product teams to integrate AI solutions into applications.
- Publishing research findings in leading academic conferences and journals.
- Staying abreast of the latest advancements in AI and ML research.
- Securing research grants and managing project budgets.
- Presenting research outcomes to technical and non-technical stakeholders.
- Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of research experience in AI/ML, with at least 3 years in a leadership role.
- Strong publication record in top-tier AI/ML venues.
- Deep theoretical understanding of deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Proven ability to lead and inspire a research team.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud computing platforms (AWS, GCP, Azure).
Lead Research Scientist - AI/ML
Posted 13 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and conduct advanced research in AI/ML domains.
- Develop and implement novel AI/ML algorithms and models.
- Design and execute experiments to validate research hypotheses.
- Collaborate with product teams to integrate AI/ML solutions.
- Mentor and guide junior research scientists and engineers.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements in AI/ML research and industry trends.
- Contribute to the development of intellectual property and patents.
- Manage research project timelines and resources effectively.
- Present research findings to internal and external stakeholders.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI/ML research and development.
- Proven track record of innovative research and publications.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills (e.g., Python, C++).
- Experience with various ML techniques (e.g., NLP, computer vision, reinforcement learning).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong leadership, communication, and interpersonal skills.
- Ability to work independently and manage complex research projects in a remote environment.
Lead Research Scientist - AI & Machine Learning (Remote)
Posted 18 days ago
Job Viewed
Job Description
Responsibilities include identifying promising research avenues, defining project roadmaps, and overseeing the entire research lifecycle from ideation to prototype development and potential product integration. You will conduct in-depth literature reviews, experiment with various AI/ML techniques, and analyze experimental results to derive meaningful insights. A deep understanding of deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling is essential. You will also be responsible for publishing research findings in top-tier conferences and journals, as well as presenting work to internal stakeholders and the broader scientific community. This role demands strong leadership qualities, excellent problem-solving skills, and the ability to foster a collaborative and innovative research environment.
We are looking for an individual with a passion for scientific discovery and a proven ability to translate complex theoretical concepts into practical applications. Experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python) is required. You will mentor junior researchers, guide their technical development, and ensure the quality and reproducibility of research outcomes. This is an exceptional opportunity to contribute to significant scientific breakthroughs in a remote setting and shape the future of AI research for our client. The role is based in **Embu, Embu, KE**, but is fully remote.
Lead Data Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
Lead Data Scientist, Machine Learning Applications
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and deployment of machine learning models to solve complex business problems.
- Architect scalable and robust ML pipelines for data ingestion, feature engineering, model training, and evaluation.
- Collaborate with engineering and product teams to integrate ML solutions into existing products and services.
- Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
- Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
- Develop and implement best practices for model monitoring, validation, and continuous improvement.
- Communicate complex technical findings and recommendations to non-technical stakeholders.
- Evaluate and select appropriate ML algorithms and tools for specific project needs.
- Manage project timelines, resources, and deliverables for data science initiatives.
- Contribute to the company's data strategy and technical roadmap.
- Ensure the ethical and responsible use of data and AI technologies.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership role.
- Expertise in Python, R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of various ML algorithms, including deep learning, NLP, and computer vision.
- Experience in deploying ML models into production environments and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Proven ability to lead and mentor a team in a remote setting.
- Experience with agile development methodologies.
- Published research or contributions to open-source ML projects is a plus.
Remote Lead Research Scientist - AI/ML
Posted 7 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 Research Scientist - AI/ML - Remote
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and mentor a team of AI/ML researchers in a remote setting.
- Define and execute the research agenda for AI/ML projects.
- Develop and implement novel AI/ML algorithms and models.
- Conduct rigorous experimentation and validation of research findings.
- Publish research results in leading scientific journals and conferences.
- Collaborate with engineering teams to deploy models into production environments.
- Stay abreast of the latest advancements in AI, ML, and related fields.
- Contribute to the intellectual property portfolio through patent applications.
- Present research progress and findings to stakeholders and executive leadership.
- Foster a collaborative and innovative research environment.
- Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a closely related field.
- Minimum of 8 years of post-Ph.D. research experience in AI/ML.
- Demonstrated leadership experience in managing research teams.
- Strong publication record in top-tier AI/ML conferences and journals.
- Expertise in one or more areas such as deep learning, NLP, computer vision, reinforcement learning.
- Proficiency in programming languages like Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts.
- Proven ability to work independently and drive research initiatives in a remote environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Be The First To Know
About the latest Lead ai research scientist computer vision Jobs in Kenya !
Lead Data Scientist - Machine Learning (Remote)
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the end-to-end development and implementation of machine learning models for various business applications, including prediction, classification, and clustering.
- Design and conduct experiments to test hypotheses and validate model performance.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Perform advanced statistical analysis and data mining on large, complex datasets.
- Develop and maintain data pipelines, ensuring data quality and integrity.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through presentations and reports.
- Contribute to the strategic roadmap for data science initiatives within the company.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a significant focus on machine learning and predictive modeling.
- Proven experience in leading data science projects and mentoring teams.
- Deep understanding of various machine learning algorithms (e.g., regression, classification, deep learning, NLP) and their practical applications.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent communication, presentation, and interpersonal skills, essential for remote collaboration.
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
Remote Lead Data Scientist - Machine Learning
Posted 21 days ago
Job Viewed
Job Description
Lead Data Scientist - AI & Machine Learning
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the end-to-end development and deployment of machine learning models, from data exploration and feature engineering to model training, evaluation, and productionization.
- Design and implement scalable data pipelines and infrastructure for machine learning workflows.
- Identify opportunities to leverage AI and ML to enhance business processes, improve efficiency, and create new products/services.
- Conduct advanced statistical analysis and data mining to uncover insights and trends.
- Stay current with the latest advancements in AI, ML, and data science, and evaluate their potential application.
- Collaborate closely with product managers, engineers, and business stakeholders to understand requirements and translate them into data science solutions.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Develop and present compelling narratives and visualizations of complex data findings to both technical and non-technical audiences.
- Ensure the ethical and responsible use of data and AI models.
- Contribute to the strategic direction of the company's data science and AI capabilities.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in data science, with a significant focus on AI and machine learning.
- Proven track record of building and deploying successful machine learning models in production environments.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with natural language processing (NLP) or computer vision is a plus.