1,871 Senior Sports Performance Analyst Remote Data Scientist jobs in Kenya

• Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
• Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
• Prototyping new AI solutions and validating their performance through extensive experimentation.
• Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
• Collaborating with software engineers to integrate research prototypes into production systems.
• Staying abreast of the latest academic research and industry trends in AI and computer vision.
• Writing high-quality research papers for publication and presentation.
• Contributing to the intellectual property portfolio through patents and publications.
• Mentoring junior researchers and contributing to the team's technical growth.
• Participating in code reviews and ensuring robust, well-documented research code.

• Collect, clean, and analyze performance data from athletes and teams using advanced statistical techniques and machine learning algorithms.
• Develop and implement predictive models to forecast player performance and identify potential injury risks.
• Provide actionable insights and recommendations to coaches, athletes, and management on performance enhancement strategies.
• Design and conduct statistical analyses of game and training data to evaluate tactical effectiveness and individual player contributions.
• Work with video analysis tools to quantify athlete movements and identify areas for improvement.
• Create clear and concise visualizations and reports to communicate complex findings to non-technical stakeholders.
• Collaborate with sports scientists, medical staff, and coaches to integrate performance data into holistic training programs.
• Stay abreast of the latest research and technological advancements in sports science, data analytics, and performance monitoring.
• Maintain a comprehensive database of athlete performance metrics.
• Contribute to the development of talent identification and scouting processes through data-driven insights.

• Master's or Ph.D. in Data Science, Statistics, Sports Science, Biomechanics, or a related quantitative field.
• Minimum of 7 years of experience in sports performance analysis, data science, or a similar analytical role.
• Proficiency in programming languages such as Python or R and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Strong knowledge of statistical modeling, machine learning, and data visualization techniques.
• Experience with sports performance tracking technologies (e.g., GPS trackers, motion sensors) and data analysis platforms.
• Deep understanding of sports physiology, biomechanics, and training principles across various disciplines.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to translate complex data into understandable insights.
• Experience working within a professional sports environment is highly desirable.
• Ability to work effectively as part of a multidisciplinary team.

• Lead research initiatives in deep learning, computer vision, and related AI fields.
• Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
• Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
• Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
• Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
• Collaborate with engineering teams to integrate AI models into production systems.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to a collaborative research environment.
• Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of linear algebra, calculus, probability, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to work independently and as part of a remote team.

• Conduct original research in computer vision and machine learning, focusing on areas such as image recognition, object detection, segmentation, and generative models.
• Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
• Design and execute experiments to evaluate model performance, analyze results, and iterate on research hypotheses.
• Collaborate with software engineers to translate research prototypes into deployable AI systems.
• Stay abreast of the latest academic research and industry trends in computer vision and AI.
• Publish research findings in top-tier conferences and journals.
• Contribute to the development of intellectual property, including patents and proprietary algorithms.
• Analyze large-scale datasets to train and validate machine learning models.
• Effectively communicate complex research concepts and results to both technical and non-technical audiences.
• Mentor junior researchers and contribute to a collaborative and innovative research environment.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Proven track record of research and development in computer vision, evidenced by publications, patents, or significant contributions to open-source projects.
• Strong theoretical understanding and practical experience with deep learning architectures (CNNs, RNNs, Transformers) and computer vision techniques.
• Proficiency in programming languages such as Python and experience with deep learning libraries (TensorFlow, PyTorch, Keras).
• Experience with data manipulation, feature engineering, and model evaluation.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills for presenting research and collaborating effectively.
• Ability to work independently, manage research projects, and meet ambitious deadlines in a remote setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A passion for pushing the boundaries of AI and its applications.

• Conduct cutting-edge research in computer vision, including areas such as object detection, image segmentation, facial recognition, and 3D vision.
• Develop and implement novel deep learning models and algorithms for complex visual tasks.
• Design and execute experiments to validate research hypotheses and measure model performance.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
• Collaborate with other researchers and engineers to translate research findings into practical applications.
• Publish research results in top-tier academic conferences and journals.
• Develop prototypes and proof-of-concepts for new AI-driven features and products.
• Contribute to the intellectual property of the organization through patents and publications.
• Mentor junior researchers and interns in AI/ML and computer vision.
• Contribute to the design and implementation of our AI infrastructure.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
• Minimum of 5 years of research experience in AI/ML, with a strong focus on computer vision.
• Proven track record of publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
• Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in programming languages like Python, and experience with scientific computing libraries (e.g., NumPy, SciPy).
• Strong understanding of classical computer vision techniques and modern deep learning architectures.
• Experience with large-scale datasets and distributed training is a plus.
• Ability to work independently and as part of a highly collaborative, remote research team.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.

Company Description
At
Timu AI
, we believe every business deserves a smarter teammate.

We're building
AI-powered infrastructures
that save time, cut costs, and help companies focus on what matters — their clients and their growth.

Role Description
This is a full-time role for a Machine Learning Engineer and AI specialist at The role is Remote. The Machine Learning Engineer will be responsible for developing and implementing machine learning models and algorithms, As an
AI Automation Engineer
, you'll design, build, and scale automation workflows that connect business tools, integrate AI intelligence, and create seamless digital teammates for our clients.

You'll collaborate directly with the founder and help shape the future of automation infrastructure in Africa

Key Responsibilities

• Build and optimize
  n8n workflows
  for real-world business use cases (starting with the Legal Industry).
• Connect APIs (Google Calendar, WhatsApp Business API, CRMs, Gmail, etc.).
• Integrate
  AI features
  using OpenAI API or LangChain (for scheduling, smart responses, or data analysis).
• Manage workflow hosting and deployment (self-hosted or cloud environments).
• Implement authentication, error handling, and logging within workflows.
• Collaborate in developing a repeatable
  automation framework
  for future industries.
• Write documentation for all automations built.

Qualifications

• Hands-on experience with
  n8n
  ,
  Make (Integromat)
  , or
  Zapier
  .
• Strong understanding of
  APIs
  ,
  webhooks
  , and
  JSON
  .
• Proficient in
  JavaScript/TypeScript
  or
  Python
  .
• Experience with
  databases
  (Airtable, PostgreSQL, or MongoDB).
• Familiarity with
  AI tools/APIs
  (OpenAI, HuggingFace, LangChain).
• Understanding of basic
  data security and authentication
  practices.
• Strong problem-solving mindset and willingness to learn fast.

What You'll Gain

• Equity in Timu AI — you'll own part of what we build.
• A real seat at the table as one of the founding engineers.
• A chance to shape how AI automation is implemented across multiple industries.

If you've ever wanted to be
part of something from day one
— this is it.

We're not hiring an employee.

We're bringing in a
partner
who believes in Africa's potential to build world-class AI systems.

How to Apply
Send your portfolio or project samples (GitHub, Notion, or screenshots) + a short note explaining:

"How would you automate appointment scheduling for a firm?"
Email :

Subject Line:
AI Automation Engineer – (Your Name)

• Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
• Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
• Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
• Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
• Oversee the data collection, annotation, and preparation process for training computer vision models.
• Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
• Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
• Write high-quality, well-documented code in languages such as Python.
• Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
• Contribute to intellectual property and publish research findings where appropriate.
• Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
• Proven track record of developing and deploying complex computer vision models in production environments.
• Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Strong knowledge of algorithms, data structures, and software engineering best practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership and team management capabilities.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Ability to work independently and collaboratively in a fully remote setting.
• Experience with model optimization and deployment strategies is highly desirable.

• Lead the design, development, and implementation of advanced computer vision models and algorithms.
• Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
• Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
• Optimize model performance for scalability, efficiency, and real-time applications.
• Collaborate with cross-functional teams to define project requirements and technical specifications.
• Mentor junior AI/ML engineers and contribute to the team's technical growth.
• Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
• Contribute to the company's intellectual property through patents and publications.
• Design and conduct experiments to validate new approaches and algorithms.
• Troubleshoot and resolve complex technical challenges in AI/ML systems.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
• Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
• Proven track record of developing and deploying sophisticated CV models in production.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
• Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
• Excellent analytical, problem-solving, and algorithmic design skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and lead projects in a fully remote environment.
• Demonstrated experience with large-scale datasets and distributed training.

• Conduct cutting-edge research in computer vision and machine learning, focusing on areas such as deep learning, image recognition, object detection, segmentation, and generative models.
• Develop, implement, and rigorously test novel AI algorithms and models using frameworks like TensorFlow, PyTorch, and Keras.
• Design and execute experiments to evaluate model performance, identify limitations, and drive improvements.
• Collaborate with other researchers and engineers to translate research findings into practical applications and deployable solutions.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference participation.
• Publish research findings in leading academic venues and contribute to the broader AI community.
• Mentor junior researchers and contribute to the technical direction of the team.
• Analyze large-scale datasets, preprocess data, and engineer relevant features for model training.
• Contribute to the development of intellectual property and patents.
• Effectively communicate complex research concepts and results to both technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field with a strong focus on Computer Vision.
• 5+ years of research experience in AI/ML, with a significant emphasis on computer vision algorithms and techniques.
• Proven track record of publications in top-tier AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) and journals.
• Expertise in deep learning architectures (CNNs, Transformers, GANs, etc.) and frameworks (TensorFlow, PyTorch).
• Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, OpenCV).
• Experience working with large datasets and distributed computing environments.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong written and verbal communication skills, with the ability to clearly articulate complex technical ideas.
• Demonstrated ability to work independently and collaboratively in a remote research setting.
• Experience with cloud computing platforms (AWS, GCP, Azure) and MLOps practices is a plus.