1,884 Senior AI Research Scientist Machine Learning Models jobs in Kenya
AI Research Scientist - Machine Learning Models
Posted 22 days ago
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Job Description
Our client is seeking a brilliant and innovative AI Research Scientist to join their cutting-edge Artificial Intelligence division, focusing on developing advanced machine learning models. This is a fully remote role, allowing top-tier talent to contribute to pioneering AI research from anywhere in the world. You will be at the forefront of designing, implementing, and evaluating novel ML algorithms for complex problems, pushing the boundaries of what's possible in AI. This position requires a strong theoretical foundation in machine learning, exceptional programming skills, and a passion for creating impactful AI solutions.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models for various applications.
- Collaborate with a team of AI researchers and engineers to define research objectives and approaches.
- Analyze and interpret large datasets to train and validate ML models.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest research papers, trends, and advancements in AI and ML.
- Publish research findings in top-tier AI conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the efficacy of new AI techniques.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns in the field of AI.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
- Manage research projects and timelines in a remote research environment.
- Evaluate and integrate new AI tools and frameworks.
- Ensure reproducibility and rigorous validation of research outcomes.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research experience in machine learning or a related AI field.
- Proven track record of research contributions, including publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, natural language processing, computer vision, or generative models.
- Proficiency in programming languages commonly used in AI research, such as Python, with strong experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.
- Solid understanding of mathematical foundations of ML, including linear algebra, calculus, and probability theory.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) for ML workloads is a plus.
- Ability to work independently and drive research initiatives forward with minimal supervision.
- A deep passion for advancing the field of Artificial Intelligence and its applications.
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark) is beneficial.
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Senior AI Research Scientist - Machine Learning Models
Posted 24 days ago
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Job Description
Our client, a cutting-edge organization at the forefront of AI innovation, is seeking a brilliant and experienced Senior AI Research Scientist to join their advanced R&D team. This role is crucial for pushing the boundaries of artificial intelligence by developing and refining sophisticated machine learning models. The ideal candidate will possess a deep theoretical understanding of AI/ML algorithms, a strong practical background in model development and implementation, and a passion for creating intelligent systems that solve complex real-world problems. You will work collaboratively with a team of world-class researchers and engineers to advance the state-of-the-art in AI.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or related AI fields.
- Design, develop, train, and evaluate advanced machine learning models.
- Implement and optimize AI algorithms for performance and scalability.
- Collaborate with engineering teams to deploy AI models into production environments.
- Stay abreast of the latest research papers, trends, and advancements in the AI/ML community.
- Contribute to intellectual property through publications, patents, and presentations.
- Mentor junior researchers and engineers, sharing knowledge and fostering innovation.
- Define research roadmaps and identify new areas for AI exploration and application.
- Analyze and interpret complex datasets to extract meaningful insights and inform model development.
- Develop novel approaches to address challenging AI problems and create intelligent solutions.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more core AI/ML areas (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn.
- Experience with large-scale data processing and distributed computing frameworks.
- Strong understanding of mathematical and statistical concepts underlying AI algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work effectively in a collaborative, team-oriented research environment.
- Strong communication and presentation skills, with the ability to convey complex technical concepts clearly.
- Experience in deploying ML models in real-world applications is a plus.
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Senior Data Scientist, AI Model Development
Posted 22 days ago
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Job Description
Our client is seeking a highly skilled Senior Data Scientist to join their advanced analytics team, focusing on the development and deployment of cutting-edge AI models. This role is critical in leveraging large datasets to build predictive models, extract actionable insights, and drive data-informed decision-making. You will work on complex machine learning challenges, from data preprocessing and feature engineering to model training, validation, and optimization. The ideal candidate possesses a strong statistical background, proficiency in programming languages like Python or R, and hands-on experience with various machine learning techniques and frameworks. You will collaborate closely with software engineers, domain experts, and other data scientists to deliver robust and scalable AI solutions. This position requires a keen analytical mind and a passion for solving challenging problems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models to address business challenges and opportunities.
- Perform data exploration, cleaning, and feature engineering to prepare data for modeling.
- Evaluate model performance, identify areas for improvement, and conduct hyperparameter tuning.
- Collaborate with engineering teams to deploy models into production environments.
- Communicate complex analytical findings and model results to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science, machine learning, and AI.
- Develop and maintain robust data pipelines and analytical workflows.
- Mentor junior data scientists and contribute to the team's technical growth.
- Identify opportunities to apply advanced analytical techniques to solve business problems.
- Contribute to the overall data strategy and roadmap of the organization.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science or machine learning, with a proven track record of building and deploying models.
- Strong proficiency in Python or R, and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
- Solid understanding of statistical modeling, machine learning algorithms, and deep learning concepts.
- Experience with SQL and working with large datasets.
- Familiarity with data visualization tools and techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a team environment and manage project timelines.
- Experience in an on-site role within Kisumu is required.
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2
AI Research Scientist - Generative Models
Posted 15 days ago
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Job Description
Our client is a cutting-edge research organization looking for an exceptional AI Research Scientist specializing in Generative Models to join their fully remote, globally distributed team. You will be at the forefront of AI innovation, contributing to groundbreaking research and development in areas such as natural language generation, image synthesis, and reinforcement learning. This role is ideal for individuals with a deep passion for artificial intelligence and a proven track record in academic or industry research.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct theoretical and applied research in generative AI, focusing on novel algorithms and techniques.
- Design, implement, and evaluate state-of-the-art generative models (e.g., GANs, VAEs, Transformers).
- Develop prototypes and proof-of-concepts for AI-driven applications.
- Publish research findings in top-tier conferences and journals.
- Collaborate with a team of leading AI researchers and engineers.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and contribute to a knowledge-sharing culture.
- Experiment with large-scale datasets and distributed computing frameworks.
- Present research progress and results to internal stakeholders and external partners.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated expertise in generative models, deep learning, and associated mathematical foundations.
- Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, or JAX.
- Proven experience in developing and deploying complex AI models.
- Excellent publication record in relevant AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Ability to conduct independent research and work effectively in a remote, collaborative environment.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills for disseminating research findings.
- Experience with distributed training and large-scale data processing is highly desirable.
- A genuine curiosity and drive to push the boundaries of AI research.
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3
Lead AI Research Scientist - Generative Models
Posted 11 days ago
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Job Description
Our client is at the forefront of Artificial Intelligence and is seeking an exceptional Lead AI Research Scientist to spearhead research and development in generative models. This is a fully remote position, allowing you to contribute your expertise from anywhere. The successful candidate will lead a world-class research team focused on pushing the boundaries of AI, particularly in areas such as natural language generation, image synthesis, and reinforcement learning. Your responsibilities will include formulating research hypotheses, designing and executing cutting-edge experiments, and publishing findings in top-tier academic venues and conferences. You will mentor junior researchers, guide strategic research directions, and collaborate with engineering teams to translate research breakthroughs into practical applications and product features. The ideal candidate possesses a Ph.D. in Computer Science, Machine Learning, or a related field, with a strong publication record and extensive experience in developing and deploying advanced AI models. Proven leadership experience in managing research projects and teams is essential. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), probabilistic modeling, and optimization techniques is required. Familiarity with large-scale data processing and distributed computing environments is also highly desirable. You will be expected to stay abreast of the latest advancements in AI and identify novel research opportunities. This role demands exceptional analytical and problem-solving skills, strong programming abilities (Python is a must), and excellent communication skills to articulate complex technical concepts to diverse audiences. You will play a pivotal role in shaping the future of AI at Our client, contributing to groundbreaking innovations that will redefine industries. This is a challenging yet rewarding opportunity for a visionary researcher to lead impactful work in a collaborative, remote-first environment. Your insights and leadership will directly influence the trajectory of our AI research roadmap. We are looking for someone passionate about discovery and innovation, eager to tackle complex problems with creative solutions. The successful candidate will thrive in an environment that encourages intellectual curiosity and scientific rigor, working remotely to achieve these ambitious goals.
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4
Senior AI Research Scientist - LLM Specialization
Posted 4 days ago
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Job Description
Our client is at the forefront of AI innovation and is looking for a highly skilled Senior AI Research Scientist with a specialization in Large Language Models (LLMs) to join their pioneering, fully remote research team. This role offers an exceptional opportunity to shape the future of artificial intelligence by contributing to groundbreaking research and development. You will be instrumental in designing, implementing, and evaluating novel LLM architectures, algorithms, and applications. The position requires a deep theoretical understanding of machine learning, natural language processing, and cutting-edge deep learning techniques, combined with practical experience in deploying models in real-world scenarios. You will collaborate with a diverse team of world-class researchers and engineers, pushing the boundaries of what's possible with AI.
Responsibilities:
Responsibilities:
- Lead research initiatives in LLMs, focusing on areas such as model architecture, training methodologies, fine-tuning, and deployment.
- Design, develop, and implement advanced NLP models and algorithms.
- Conduct experiments to evaluate model performance, identify areas for improvement, and validate research hypotheses.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Explore and experiment with new LLM frameworks and tools.
- Contribute to the strategic vision of the company's AI research roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research in LLMs and NLP, evidenced by publications or significant open-source contributions.
- Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Deep understanding of transformer architectures, attention mechanisms, and other state-of-the-art NLP techniques.
- Experience with data preprocessing, feature engineering, and model evaluation for LLMs.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Ability to work independently and drive research projects from conception to completion.
- Previous experience in a remote or hybrid work setting is highly beneficial.
- This is a fully remote role, enabling you to contribute your expertise from anywhere while being a key part of our innovative team, connected to our operations based in Nakuru, Nakuru, KE .
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5
Principal AI Research Scientist - Generative Models
Posted 25 days ago
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Job Description
Our client is seeking a visionary Principal AI Research Scientist to lead the advancement of generative models and artificial intelligence. This is a fully remote, high-impact role where you will be at the forefront of AI innovation, tackling complex challenges and shaping the future of intelligent systems. The ideal candidate will possess a Ph.D. in Computer Science, AI, Machine Learning, or a related field, coupled with extensive experience in deep learning, particularly with large-scale generative models (GANs, VAEs, Transformers, Diffusion Models). You will be responsible for designing novel AI architectures, conducting cutting-edge research, and translating theoretical breakthroughs into practical applications. This role requires exceptional analytical skills, a strong publication record, and the ability to lead research initiatives in a distributed environment.
Core Responsibilities:
Core Responsibilities:
- Conduct pioneering research in generative AI, exploring new architectures, training methodologies, and applications.
- Develop and implement state-of-the-art deep learning models for tasks such as image generation, text synthesis, and data augmentation.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the overall research strategy.
- Stay abreast of the latest advancements in the AI and machine learning landscape.
- Design and manage large-scale experiments and benchmark studies.
- Contribute to the development of ethical AI principles and best practices.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 5+ years of research experience in AI/ML, with a significant focus on generative models.
- Proven track record of significant contributions to the field, demonstrated by publications in venues like NeurIPS, ICML, ICLR, CVPR, ACL.
- Deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in Python and experience with scientific computing libraries.
- Strong mathematical foundation in linear algebra, probability, and calculus.
- Excellent problem-solving, critical thinking, and communication skills.
- Experience leading research projects and mentoring teams is highly desirable.
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6
Principal AI Research Scientist - Generative Models
Posted today
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Job Description
Our client is at the forefront of innovation and is seeking a distinguished Principal AI Research Scientist specializing in Generative Models. This is a fully remote, senior-level position focused on pushing the boundaries of artificial intelligence. You will lead groundbreaking research and development initiatives, focusing on the creation and refinement of advanced generative models for various applications. The ideal candidate will possess a deep theoretical understanding and practical experience in areas such as deep learning, natural language processing, computer vision, and reinforcement learning, with a strong emphasis on GANs, VAEs, diffusion models, and other state-of-the-art generative techniques. Responsibilities include conceptualizing novel research directions, designing and conducting experiments, analyzing results, and publishing findings in top-tier academic conferences and journals. You will collaborate with a world-class team of researchers and engineers, providing technical leadership and mentorship. A key aspect of this role is translating cutting-edge research into practical, scalable AI solutions. You will also be responsible for staying abreast of the latest advancements in AI and emerging technologies, identifying opportunities for innovation. This role demands exceptional creativity, strong analytical skills, and the ability to work independently and collaboratively in a remote setting. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 10 years of post-doctoral research experience in AI, with a significant focus on generative models. A strong publication record in reputable venues is essential. Proven experience leading complex research projects and mentoring junior scientists is highly valued. The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is crucial. While this position is fully remote, candidates with a background or interest in **Kisumu, Kisumu, KE**, will find this an exciting opportunity, though geographical location is secondary to the exceptional qualifications.
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7
Lead AI Research Scientist - Generative Models
Posted today
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Job Description
Our client is at the forefront of AI innovation and is seeking a distinguished Lead AI Research Scientist specializing in generative models to join their fully remote research division. This pivotal role will involve pioneering the development and implementation of cutting-edge AI technologies that redefine industry standards. You will lead a team of brilliant researchers and engineers, guiding them through complex projects from conceptualization to deployment. The focus will be on pushing the boundaries of what's possible with deep learning, particularly in areas like natural language processing, computer vision, and reinforcement learning, with an emphasis on creating novel generative architectures. Your responsibilities will include designing and conducting advanced AI experiments, analyzing research findings, and publishing novel techniques. You will stay abreast of the latest academic research and industry trends, translating groundbreaking ideas into practical applications. This role requires a visionary leader with a strong academic background and a proven track record of impactful AI research. The ability to foster a collaborative and innovative remote work environment is crucial. You will work with massive datasets, develop and optimize complex algorithms, and contribute to the intellectual property portfolio of the company. Mentoring junior researchers and guiding technical strategy will be key aspects of your leadership.
Qualifications:
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of research experience in AI and Machine Learning, with a significant focus on generative models (e.g., GANs, VAEs, Transformers).
- Demonstrated experience leading research teams and projects.
- Strong publication record in top-tier AI conferences and journals.
- Expertise in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with large-scale data processing and distributed computing.
- Exceptional problem-solving skills and a passion for innovation.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Proven ability to drive research initiatives from inception to completion in a remote setting.
- Experience with MLOps and model deployment is a plus.
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8
Senior AI Research Scientist - Generative Models
Posted 11 days ago
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Job Description
Our client is seeking a highly motivated and innovative Senior AI Research Scientist to join our cutting-edge team, focused on the development and application of generative models. This is a fully remote, high-impact role for an individual passionate about pushing the boundaries of artificial intelligence. The ideal candidate will have a proven track record in machine learning research, with a strong emphasis on deep learning architectures and their practical implementation. You will be instrumental in designing, implementing, and evaluating novel AI algorithms that address complex real-world problems across various domains. Your responsibilities will include conducting theoretical research, developing prototype systems, and collaborating with engineering teams to integrate research findings into production environments. You will be expected to stay abreast of the latest advancements in AI and machine learning, contribute to academic publications and conferences, and mentor junior researchers. The ability to work independently and collaboratively in a distributed team environment is crucial. Success in this role requires a deep understanding of mathematical concepts such as linear algebra, calculus, and probability, alongside expertise in programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch. Experience with large-scale data processing and cloud computing platforms is also highly beneficial. If you are driven by discovery and possess a keen analytical mind, we encourage you to apply. This role offers the flexibility of working from anywhere, allowing you to contribute your expertise to a leading organization without geographical constraints. Join us and help shape the future of artificial intelligence. The successful candidate will work on challenging projects that demand creativity, rigor, and a commitment to scientific excellence, all within a supportive and dynamic remote-first culture. We offer competitive compensation, opportunities for professional growth, and the chance to make a significant impact on the field of AI.Location: Mombasa, Mombasa, KE
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