349 Big Data Technologies jobs in Nairobi

• Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
• Design, develop, and implement advanced AI algorithms and models for various applications.
• Prototype and experiment with new AI technologies, frameworks, and approaches.
• Analyze and interpret large datasets to train and validate AI models.
• Optimize model performance for scalability, efficiency, and accuracy.
• Collaborate with software engineers to integrate AI models into production systems.
• Stay abreast of the latest advancements in AI research and industry trends.
• Publish research findings in reputable conferences and journals.
• Mentor junior researchers and engineers, fostering a collaborative research environment.
• Contribute to the intellectual property strategy through invention disclosures and patent applications.
• Evaluate and select appropriate tools, libraries, and platforms for AI development.
• Ensure the ethical and responsible development and deployment of AI technologies.
• Participate in cross-functional team meetings and contribute to strategic planning.
• Develop clear and concise technical documentation for research projects and implemented solutions.
• Present research progress and findings to internal stakeholders and at external forums.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of progressive experience in AI/ML research and development.
• Proven track record of developing and deploying complex machine learning models (e.g., neural networks, NLP, computer vision).
• Expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of statistical modeling, data mining, and algorithm design.
• Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, essential for remote collaboration and disseminating research.
• Ability to work independently, drive research initiatives, and manage projects effectively in a remote setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) for ML workloads is a plus.
• Strong publication record in top-tier AI/ML venues is advantageous.

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

• Lead the research, design, and implementation of advanced AI algorithms and models, including deep learning, natural language processing, and computer vision.
• Conduct rigorous experimentation, benchmarking, and validation of AI systems to ensure optimal performance and scalability.
• Develop and deploy robust AI solutions that address complex business challenges and create new opportunities.
• Collaborate closely with product managers, data scientists, and software engineers to translate research findings into production-ready features.
• Stay at the forefront of AI research by actively reading academic papers, attending conferences, and experimenting with new techniques.
• Contribute to the company's intellectual property by authoring technical documentation and potentially patent applications.
• Mentor junior AI engineers and foster a culture of innovation and knowledge sharing.
• Optimize AI models for efficiency, accuracy, and resource utilization.
• Participate in code reviews and contribute to the overall quality of the AI codebase.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in AI research and development, with a strong focus on building and deploying production-grade AI systems.
• Proven expertise in at least one major AI domain (e.g., NLP, computer vision, reinforcement learning).
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of algorithm design, data structures, and software engineering principles.
• Demonstrated ability to conduct independent research and publish findings (a plus).
• Excellent analytical and problem-solving skills, with a knack for tackling ambiguous problems.
• Exceptional communication and interpersonal skills, vital for a remote team environment.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable.
• Demonstrated leadership potential and the ability to guide complex projects.

• Lead the research and development of novel AI algorithms and machine learning models.
• Design, implement, and optimize AI systems for various applications.
• Conduct rigorous experimentation, analyze results, and publish findings in leading AI venues.
• Develop and deploy scalable AI solutions, working closely with engineering teams.
• Mentor junior researchers and engineers, fostering innovation and technical excellence.
• Stay abreast of the latest advancements in AI and machine learning research.
• Collaborate with cross-functional teams to define AI strategies and roadmaps.
• Contribute to the company's intellectual property through patents and publications.
• Evaluate and integrate new AI technologies and methodologies.
• Ensure the ethical development and deployment of AI systems.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Minimum of 8 years of relevant research and development experience in AI/ML, with a strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Deep expertise in at least one of the following areas: deep learning, natural language processing, computer vision, reinforcement learning, or generative models.
• Proficiency in programming languages such as Python and expertise in ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Exceptional analytical, problem-solving, and algorithmic thinking skills.
• Outstanding communication and presentation skills, with the ability to explain complex AI concepts to diverse audiences.
• Demonstrated leadership in research projects and the ability to mentor technical teams.
• Ability to work independently, manage ambitious research goals, and drive innovation in a remote environment.

• Conduct original research in machine learning, deep learning, and related AI fields.
• Develop and implement novel algorithms and models for AI applications.
• Design and execute experiments to validate research hypotheses and evaluate model performance.
• Analyze large-scale datasets to extract meaningful insights and inform model development.
• Collaborate with other researchers and engineers on joint projects in a virtual setting.
• Publish research findings in leading AI conferences and journals.
• Stay abreast of the latest advancements and trends in AI and machine learning.
• Develop prototypes and proof-of-concepts for new AI technologies.
• Contribute to the strategic direction of AI research and development efforts.
• Mentor junior researchers and contribute to building a strong research culture.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven track record of research publications in reputable AI conferences and journals.
• Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
• Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
• Experience with big data technologies and cloud computing platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, comfortable working in a remote, distributed team.
• Ability to work independently, manage research projects, and drive innovation.