1,837 Algorithm Development jobs in Kenya
Lead Quantum Computing Researcher - Algorithm Development
Posted 12 days ago
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Job Description
Key Responsibilities:
- Lead the research and development of novel quantum algorithms.
- Design, simulate, and analyze quantum algorithms for real-world applications.
- Collaborate with a global team of scientists and engineers in a remote setting.
- Publish research findings in peer-reviewed journals and present at conferences.
- Mentor and guide junior researchers in quantum computing principles and practices.
- Contribute to the development of quantum software platforms and tools.
- Identify and pursue new research opportunities and funding avenues.
- Ensure the theoretical rigor and practical feasibility of developed algorithms.
- Stay updated with the latest advancements in quantum computing and related fields.
- Foster a culture of innovation and scientific excellence within the remote research group.
- Ph.D. in Physics, Computer Science, Mathematics, or a closely related quantitative field.
- Extensive experience in quantum information theory and quantum algorithm design.
- Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
- Demonstrated ability to conduct independent research and lead research projects.
- Strong publication record in reputable journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective remote collaboration.
- Experience in leading or mentoring research teams is highly desirable.
Senior Quantum Computing Researcher - Algorithm Development
Posted 9 days ago
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Job Description
Responsibilities:
- Conceptualize, design, and develop novel quantum algorithms for specific computational challenges.
- Analyze the performance and scalability of quantum algorithms on various quantum hardware architectures.
- Conduct theoretical research and publish findings in peer-reviewed journals and present at international conferences.
- Collaborate with quantum hardware engineers to translate theoretical concepts into practical implementations.
- Develop and utilize quantum simulation tools and frameworks to test and validate algorithms.
- Mentor junior researchers and contribute to building a strong research culture within the remote team.
- Stay abreast of the latest advancements in quantum computing, quantum information theory, and related fields.
- Contribute to grant proposals and research funding applications.
- Engage with external research institutions and industry partners to foster collaboration.
- Translate complex quantum concepts into understandable explanations for diverse audiences.
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum computing.
- Minimum of 5-8 years of post-doctoral research experience in quantum algorithm development or quantum information theory.
- Demonstrated expertise in quantum mechanics, linear algebra, and theoretical computer science.
- Strong programming skills in Python, with experience using quantum computing libraries (e.g., Qiskit, Cirq, PennyLane).
- Proven track record of impactful research, evidenced by publications in top-tier journals and conference presentations.
- Experience with quantum programming and simulation environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, essential for remote collaboration and dissemination of research findings.
- Ability to work independently, manage research projects, and drive innovation in a distributed environment.
Remote Lead Algorithmic Trading Developer
Posted 20 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of algorithmic trading strategies and infrastructure.
- Write clean, efficient, and maintainable high-performance C++ or Python code for trading systems.
- Optimize trading algorithms for speed, accuracy, and profitability.
- Collaborate closely with quantitative analysts to implement and backtest trading strategies.
- Develop and maintain real-time data processing pipelines.
- Monitor the performance of live trading systems and troubleshoot issues promptly.
- Implement robust testing frameworks, including unit, integration, and performance testing.
- Contribute to architectural decisions and technology roadmap for the trading platform.
- Mentor and guide junior developers within the team.
- Ensure compliance with all relevant financial regulations and risk management policies.
- Research and integrate new technologies to enhance trading capabilities.
- Work with exchange connectivity and market data providers.
- Master's or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in software development, with at least 5 years focused on algorithmic trading or quantitative finance.
- Expert-level proficiency in C++ and/or Python for high-performance computing.
- Deep understanding of financial markets, trading strategies, and order types.
- Proven experience with low-latency systems and real-time data processing.
- Strong knowledge of data structures, algorithms, and object-oriented design principles.
- Experience with distributed systems and parallel computing.
- Familiarity with exchange APIs and FIX protocol is a significant advantage.
- Excellent problem-solving and analytical skills.
- Demonstrated leadership capabilities and experience mentoring junior team members.
- Ability to work effectively in a fast-paced, remote environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 20 days ago
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 19 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
AI & Machine Learning Research Fellow
Posted 13 days ago
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Job Description
Key Responsibilities:
- Assist senior researchers in designing, implementing, and testing machine learning models for various applications.
- Conduct literature reviews on cutting-edge AI research topics and summarize findings.
- Develop and preprocess datasets for training and evaluating machine learning algorithms.
- Write clean, efficient, and well-documented code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
- Participate in team meetings and brainstorming sessions to propose new research directions and solutions.
- Contribute to the development of research papers, presentations, and technical reports.
- Help in the deployment and testing of AI models in simulated or real-world environments.
- Collaborate with other interns and researchers on assigned projects.
- Maintain detailed records of experiments, results, and methodologies.
- Gain exposure to various domains of AI, including but not limited to, natural language processing, computer vision, and reinforcement learning.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a closely related quantitative field.
- Strong foundational knowledge of machine learning algorithms, data structures, and software development principles.
- Proficiency in Python programming and experience with relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Basic understanding of mathematical concepts such as linear algebra, calculus, and probability.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to clearly articulate technical concepts.
- Must be self-motivated, detail-oriented, and capable of working independently in a remote setting.
- A genuine passion for artificial intelligence and a desire to learn and contribute to research.
- Previous research experience or personal AI projects are a plus.
AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
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Principal AI Research Scientist - Machine Learning
Posted 20 days ago
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Graduate Research Scientist - AI & Machine Learning
Posted 20 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 20 days ago
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