2,420 Lead AI Research Scientist Deep Learning jobs in Kenya
Lead Research Scientist - AI/ML
Posted 13 days ago
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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
Posted 4 days ago
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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).
Remote Lead Research Scientist - AI/ML
Posted 7 days ago
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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
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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.
Lead Research Scientist - AI & Machine Learning (Remote)
Posted 18 days ago
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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 Research Scientist - AI in Material Science
Posted 21 days ago
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Job Description
Qualifications:
- Ph.D. in Material Science, Physics, Chemistry, Computer Science, or a related field with a strong focus on AI/Machine Learning.
- Minimum of 8 years of post-doctoral research experience in material science or AI research.
- Proven track record of leading research projects and managing research teams.
- Extensive experience with AI/machine learning algorithms and their application to scientific problems.
- Proficiency in programming languages relevant to AI and data analysis (e.g., Python, R, C++).
- Experience with scientific simulation and modeling tools.
- Excellent publication record in peer-reviewed journals and conference presentations.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to mentor and lead junior researchers.
Lead Data Scientist - AI Research
Posted 21 days ago
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Job Description
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
- Lead AI research projects, defining objectives and methodologies.
- Develop and implement advanced machine learning and deep learning models.
- Analyze large, complex datasets to extract meaningful insights.
- Design and conduct experiments to validate AI hypotheses.
- Mentor and guide junior data scientists and researchers.
- Collaborate with engineering teams to integrate AI models into products.
- Publish research findings in reputable journals and present at conferences.
- Stay current with the latest AI and ML research trends and technologies.
- Contribute to the strategic direction of the company's AI initiatives.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on AI/ML research.
- Demonstrated experience in leading research projects and publishing academic work.
- Expertise in programming languages such as Python or R.
- Proficiency with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for remote collaboration and technical documentation.
- Proven ability to work independently and manage complex research initiatives.
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and algorithms to address challenging scientific and business problems.
- Conduct in-depth data analysis, feature engineering, and model evaluation using large and complex datasets.
- Collaborate with cross-functional teams, including software engineers, domain experts, and product managers, to define project scope and objectives.
- Develop and maintain robust data pipelines and infrastructure for training and deploying ML models in production environments.
- Stay abreast of the latest research and advancements in AI/ML, and proactively identify opportunities to apply new techniques.
- Mentor and guide junior data scientists and engineers, fostering a culture of learning and innovation.
- Present complex findings and insights to both technical and non-technical audiences through compelling visualizations and reports.
- Ensure the ethical and responsible development and deployment of AI systems.
- Design and execute A/B tests and other experiments to validate model performance and impact.
- Manage project timelines and deliverables, ensuring successful completion of research objectives within scope.
- Contribute to the strategic direction of our client's AI research roadmap.
- Optimize model performance for scalability, efficiency, and accuracy in a distributed computing environment.
- Utilize version control systems (e.g., Git) and agile methodologies for collaborative development.
- Document research methodologies, code, and results thoroughly.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 7-10 years of experience in data science and machine learning, with a significant portion in a lead or senior role.
- Proven track record of developing and deploying ML models in production.
- Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
- Strong understanding of statistical modeling, machine learning algorithms (e.g., deep learning, reinforcement learning, NLP), and data mining techniques.
- 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 communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Demonstrated experience leading research projects and mentoring teams.
- Ability to work effectively in a fully remote, collaborative setting.
- Publications in top-tier AI/ML conferences or journals are a significant advantage.
This remote position, anchored to our client's focus in Naivasha, Nakuru, KE , is an exceptional chance to make a substantial impact in the field of AI.
Lead Data Scientist - AI & Machine Learning
Posted 21 days ago
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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.
Lead Data Scientist - AI Research (Remote)
Posted 5 days ago
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