1,073 AI & Emerging Technologies jobs in Kenya
Solution Engineer - (AI Sales & Services)
Posted 10 days ago
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In this role you will be the Technology Specialist (pre-sales consultant) for your assigned workload and a member of the sales team that consists of Solution Specialist, Customer Success Unit, partners, and engineering. In this role you will advance pipeline by assisting the Solution Specialist in qualifying the deal, developing the strategy and inspiring the CxO/Business Decision Maker/Technical Decision Maker. You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support. The demo will focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer's solution design endorsement. Once the solution design is secured, you will support the Solution Specialist in finalizing the customer proposal and assisting with licensing.
You will develop relationships with the decision makers with our customers and position yourself as a trusted advisor in your domain. As a recognized product expert, you are responsible for sharing your technical, industry knowledge and best practices with your peers.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer's solution design endorsement.
+ Engage with the account team to land solution envisioning sessions and business value assessments.
+ Proactively deliver compelling customer centric solution demonstrations based on technical workload expertise while building Business Decision Maker/CxO/Technical Decision Maker connections.
+ Address solution architecture considerations and competitive objection handling.
+ Assist in formalizing the customer proposal.
+ Collaborate with Partners and Customer Success to align on agreed upon deployment plan and Key Performance Indicators.
+ Lead discovery sessions in each opportunity, yielding output of customer-agreed business challenges and win themes prioritized with business value.
**Qualifications**
**Required/Minimum Qualifications**
+ 6+ years of technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience
**Additional or preferred qualifications**
+ 7+ years of technical pre-sales or technical consulting, or related experience OR equivalent experience.
+ 4+ years' experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 7+ years of related experience:
+ CRM applications focusing on sales and service modules and processes
+ Solution pre-sales for business applications and/or SaaS-based company or similar technology.
+ Solution pre-sales of complex business application deals requiring orchestration of large, dispersed, virtual teams composed of industry and solution team members.
+ Solutions pre-sales best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities.
+ Successful track record of competitive displacement.
+ Ability to drive and influence stakeholders across organizational boundaries through organizational, presentation, envisioning, writing, and verbal communication skills.
+ Proven track record in prioritization and orchestration of resources for complex customer digital transformation engagements.
+ Deep understanding of:
+ Business application solutions
+ Commercial cloud offerings, ideally Microsoft's cloud platform as well as competitive knowledge of other business applications and related ecosystems.
+ Customer facing business processes in one or more industries such as Financial Services, Manufacturing, Automotive, Oil & Gas, Utilities, Retail & Consumer Goods, Healthcare, Public Sector and Media & Communications.
+ Business value selling methodologies and practices that successfully convey the value and business outcomes
+ How to uncover customer's stated and unstated needs and how technology can be leveraged to solve business problems.
+ High level of self-awareness, reflection, and empathy.
+ Ability to skillfully communicate, demonstrate, and prove the value of Dynamics 365 Business Applications.
+ Customer-centric mindset with demonstrated passion for delivering customer value.
+ Excel at coordinating team resources to build and deliver a compelling solution demonstration
+ Proven collaborator capable of influencing internal and external teams.
+ Excellent presentation and communications skills across various customer stakeholders, e.g., CIO, CFO, CMO, VP of Sales, etc.
+ Adept at challenging perspectives and differentiating from the competition by reframing value and exemplifying customer obsession.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Remote AI Research Scientist
Posted today
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Responsibilities:
- Conduct in-depth research on advanced AI algorithms and techniques, with a focus on machine learning and deep learning.
- Develop, train, and evaluate AI models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
- Design and implement novel AI architectures and methodologies to solve complex real-world problems.
- Stay abreast of the latest advancements and research papers in the field of AI and machine learning.
- Collaborate with cross-functional teams, including software engineers and data scientists, to integrate AI solutions into products and services.
- Experiment with and validate new AI techniques and technologies.
- Contribute to the development of research proposals and publish findings in reputable journals and conferences.
- Develop and maintain high-quality, well-documented code for AI models and experiments.
- Analyze large datasets to identify patterns, extract insights, and inform model development.
- Mentor junior researchers and contribute to the knowledge sharing within the team.
- Evaluate the performance of AI models and optimize them for efficiency and accuracy.
- Ensure ethical considerations and fairness are integrated into AI development processes.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
- Demonstrated experience in conducting AI research and developing state-of-the-art machine learning models.
- Proficiency in programming languages such as Python, and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of mathematical concepts underlying AI, including linear algebra, calculus, and probability.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to work independently, manage research projects, and deliver results in a remote setting.
- Publication record in top-tier AI conferences or journals is highly desirable.
- Experience with specific AI domains like NLP or Computer Vision is a plus.
Senior Data Scientist - AI Research
Posted today
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Senior AI Research Scientist - Remote
Posted today
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- Conduct advanced research in machine learning, deep learning, NLP, and computer vision.
- Develop and implement novel AI algorithms and models.
- Design and execute experiments to evaluate AI model performance.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest advancements in AI research and translate them into practical applications.
- Mentor junior researchers and engineers.
- Publish research findings in top-tier conferences and journals.
- Contribute to the intellectual property portfolio through patent applications.
AI Research Scientist
Posted today
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Principal Research Scientist - AI/ML
Posted today
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Key responsibilities include designing and conducting rigorous experiments, analyzing large datasets, and publishing findings in leading scientific journals and conferences. You will collaborate with a world-class team of scientists and engineers, mentor junior researchers, and contribute to the strategic direction of our research roadmap. The ideal candidate will possess a Ph.D. in Computer Science, Engineering, Physics, or a related quantitative field, with a proven track record of significant contributions to AI/ML research. Expertise in deep learning frameworks (TensorFlow, PyTorch), natural language processing, computer vision, or reinforcement learning is essential. Strong programming skills in Python and experience with high-performance computing environments are also required.
We seek a creative and intellectually curious individual with exceptional analytical and problem-solving abilities. Your ability to translate complex research concepts into practical applications and communicate findings effectively to both technical and non-technical audiences will be paramount. If you are passionate about pioneering advancements in AI and thrive in a challenging, remote research environment, we invite you to join our innovative team and make a lasting impact.
Lead AI Research Scientist - Natural Language Processing
Posted today
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Remote AI Ethics Specialist
Posted today
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As a Remote AI Ethics Specialist, you will be at the forefront of ensuring that our client's AI products and services are developed and deployed in a manner that is fair, transparent, accountable, and beneficial to society. You will conduct rigorous ethical reviews, develop ethical guidelines, and collaborate with AI researchers, engineers, and product managers to embed ethical considerations throughout the AI lifecycle. Your expertise will be crucial in navigating the complex ethical landscape of artificial intelligence.
Key Responsibilities:
- Develop and implement ethical frameworks, policies, and guidelines for AI research and product development.
- Conduct ethical risk assessments and impact analyses for AI systems, identifying potential biases and harms.
- Collaborate with AI teams to design and implement AI systems that uphold principles of fairness, transparency, and accountability.
- Review AI algorithms and data sets for potential biases and ensure mitigation strategies are in place.
- Provide expert advice and training to engineers, researchers, and product managers on AI ethics and responsible innovation.
- Stay abreast of the latest research, regulations, and best practices in AI ethics and governance.
- Engage with external stakeholders, including academics, policymakers, and civil society, on AI ethics issues.
- Contribute to the development of internal tools and processes for ethical AI development.
- Investigate and address ethical concerns or complaints related to AI products and services.
- Promote a culture of ethical awareness and responsibility within the organization.
- Document ethical considerations, decisions, and mitigation plans for AI projects.
- Translate complex ethical concepts into practical guidance for technical teams.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a focus on AI ethics.
- Proven experience (3+ years) in AI ethics, technology ethics, or responsible innovation.
- Deep understanding of AI concepts, machine learning, and their societal implications.
- Knowledge of ethical theories, frameworks, and methodologies for evaluating technology.
- Familiarity with AI bias detection and mitigation techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly and persuasively.
- Ability to work independently, manage projects, and collaborate effectively in a remote team environment.
- Experience in developing ethical guidelines or conducting ethical reviews for technology projects.
- Understanding of data privacy regulations and their intersection with AI.
- Passion for ensuring AI is developed and used for the benefit of humanity.
Senior AI Research Scientist - Machine Learning
Posted today
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- Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
- Develop and implement novel algorithms and models for various applications.
- Design and execute experiments to validate research hypotheses.
- Analyze large datasets to extract meaningful insights and train models.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Publish research findings in leading academic journals and conferences.
- Stay abreast of the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge base.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the intellectual property portfolio through patent applications.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of post-doctoral research experience or equivalent industry experience.
- Strong theoretical and practical understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in programming languages such as Python, R, and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven track record of research publications in top-tier venues.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently and manage research projects effectively in a remote setting.
AI Research Scientist
Posted today
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