348 Predictive Modeling jobs in Nairobi
Principal Research Scientist - AI & Machine Learning
Posted 18 days ago
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AI Research Scientist - Machine Learning
Posted 3 days ago
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AI Research Scientist - Computer Vision
Posted 9 days ago
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Principal AI Research Scientist - Machine Learning
Posted 3 days ago
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Lead AI/ML Engineer (Deep Learning)
Posted 19 days ago
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Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
Principal AI Research Scientist - Computer Vision
Posted 14 days ago
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Machine Learning Engineer - Computer Vision
Posted 17 days ago
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AI/ML Research Scientist
Posted today
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Position:
AI/ML Research Scientist
Employer:
tma
Location:
Offices in Sandton, Durban, Cape Town, or Kenya
Work Type:
100% Work-from-the-Office
Shift:
1 AM – 4 PM
About the Role
We are seeking a passionate and driven
AI/ML Research Scientist
to join our R&D team at a fast-growing, innovation-first deep-tech company. This role is ideal for individuals who thrive in research-driven environments, have a solid foundation in machine learning and artificial intelligence, and are eager to push the boundaries of what's possible with intelligent systems.
As an AI/ML Research Scientist, you'll work on ambitious challenges in machine learning, publish your findings in top-tier venues, and collaborate with a global network of leading academic and industry researchers. Your work will directly shape the future of advanced intelligent technologies across a wide range of real-world applications.
Key Responsibilities
- Conduct original, high-impact research in AI/ML
- Design and develop novel algorithms, models, and methodologies
- Publish in top-tier conferences/journals (NeurIPS, ICML, CVPR, AAAI, etc.)
- Collaborate with engineering & product teams to prototype research ideas
- Engage with the global research community
- Mentor junior researchers, data scientists, and engineers
- Present findings at conferences, symposiums, and workshops
- Stay current with emerging AI/ML trends
Required Qualifications
- 3+ years' hands-on research experience (industry, academic, or postdoctoral)
- Track record of publications in leading AI/ML venues
- Proficiency in
Python, C++, Julia
or similar, plus
PyTorch, TensorFlow, JAX - Deep theoretical understanding of ML, statistics, and optimisation
- Strong analytical, creative, and problem-solving skills
Preferred Qualifications
- PhD in Computer Science, AI/ML, Applied Mathematics, or related field
- Postdoctoral or advanced academic research experience
- Experience leading or mentoring research teams
- Industry research lab or AI-focused start-up background
- Deep expertise in:
- • Reinforcement Learning
- • Generative Models (GANs, VAEs, Diffusion)
- • Large Language Models & Transformers
- • Computer Vision
- • Probabilistic Modelling & Bayesian Inference
- • Causal Inference & Decision Systems
What We Offer
- Access to cutting-edge compute infrastructure
- Flexibility to explore high-impact research directions
- Opportunities to publish, present, and attend top AI/ML conferences
- A diverse, mission-driven team working on transformative tech
Senior AI/ML Engineer (Computer Vision)
Posted 19 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
Remote AI/ML Engineer - Computer Vision
Posted 19 days ago
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