1,842 Principal AI Engineer Machine Learning Remote jobs in Kenya
Principal Machine Learning Engineer - Remote AI Development
Posted 22 days ago
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Principal AI Engineer - Remote Machine Learning Systems
Posted 22 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and algorithms.
- Develop and maintain scalable, production-ready AI systems and infrastructure.
- Conduct research into state-of-the-art AI techniques and evaluate their applicability to our client's challenges.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI project requirements and roadmaps.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence and innovation.
- Optimize model performance, efficiency, and scalability.
- Ensure the ethical and responsible development and deployment of AI systems.
- Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
- Contribute to technical strategy and roadmap planning for AI initiatives.
- Develop and implement robust testing and validation procedures for AI models.
- Present complex technical concepts and findings to both technical and non-technical audiences.
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of professional experience in AI/ML development, with a significant focus on building and deploying production systems.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and machine learning libraries (e.g., Scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Proven experience in leading complex technical projects and mentoring engineering teams.
- Demonstrated ability to work effectively in a fully remote, collaborative environment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps is highly desirable.
Principal Remote Scientific Research Scientist (Data Science) (Remote)
Posted 22 days ago
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Key responsibilities include spearheading research projects, mentoring junior scientists, and collaborating with interdisciplinary teams to explore novel hypotheses and develop groundbreaking solutions. You will be expected to author high-impact scientific publications, present findings at international conferences, and contribute to patent filings. Expertise in programming languages such as Python or R, proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), and advanced knowledge of big data technologies and cloud computing platforms are mandatory. A strong understanding of statistical inference, experimental design, and data visualization techniques is essential.
You will play a pivotal role in shaping our client's data science strategy, identifying emerging trends, and advocating for the adoption of new methodologies and tools. The ability to lead complex, multi-faceted research endeavors with minimal supervision, while fostering a collaborative and intellectually stimulating remote work environment, is paramount. Exceptional communication, presentation, and interpersonal skills are required to effectively convey complex technical concepts to diverse audiences, including executive leadership and external collaborators. This is a unique opportunity to influence the future of scientific research at the highest level.
Location: Garissa, Garissa, KE
Principal AI Research Scientist - Remote Machine Learning
Posted 22 days ago
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Remote Principal Research Scientist - AI & Machine Learning
Posted 5 days ago
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Key responsibilities include:
- Leading independent research initiatives in AI and Machine Learning, with a focus on novel algorithm development.
- Designing and implementing state-of-the-art ML models and deep learning architectures.
- Conducting rigorous experimentation, data analysis, and performance evaluation of developed models.
- Publishing research findings in leading academic venues and contributing to the broader scientific community.
- Mentoring and guiding a team of research scientists and engineers.
- Collaborating with product and engineering teams to explore the commercialization of research breakthroughs.
- Staying at the forefront of AI research by actively engaging with the scientific literature and attending conferences.
- Contributing to the strategic direction of the company's AI research roadmap.
- Developing and presenting research proposals to secure funding and resources.
- Ensuring ethical considerations are integrated into AI research and development processes.
To qualify for this position, candidates must possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 10+ years of post-doctoral research experience in AI/ML is required, with a significant portion in a lead or principal research role. A strong portfolio of peer-reviewed publications and demonstrated success in leading research projects are essential. Expertise in at least one of the following areas is highly desirable: NLP, Computer Vision, Reinforcement Learning, Generative Models, or Explainable AI. Proficiency in programming languages such as Python and ML frameworks like TensorFlow or PyTorch is mandatory. Excellent scientific communication, leadership, and problem-solving skills are critical. This remote role requires a high degree of self-motivation, intellectual curiosity, and the ability to work effectively with distributed teams.
Principal Machine Learning Engineer - Remote
Posted 12 days ago
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Responsibilities:
- Lead the design, development, and deployment of state-of-the-art machine learning models and algorithms.
- Architect scalable and robust ML systems for data processing, model training, and inference.
- Collaborate with domain experts and data scientists to define ML problems and develop effective solutions.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Evaluate and select appropriate ML frameworks, tools, and technologies.
- Conduct thorough research on new ML techniques and their potential applications.
- Optimize model performance, efficiency, and scalability for production environments.
- Develop and maintain comprehensive documentation for ML models and systems.
- Contribute to the strategic direction of AI and ML initiatives within the organization.
- Ensure ethical considerations and bias mitigation are integrated into ML development processes.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in machine learning engineering or a closely related role, with a significant focus on building production-level ML systems.
- Expertise in programming languages such as Python, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of various ML algorithms, including deep learning, reinforcement learning, and natural language processing.
- Proven experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong software engineering fundamentals, including data structures, algorithms, and system design.
- Excellent problem-solving abilities and a passion for tackling challenging problems.
- Demonstrated leadership skills and the ability to mentor others.
- Outstanding communication and interpersonal skills, suitable for a remote team environment.
Remote Principal Research Scientist (AI/ML)
Posted 22 days ago
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Key Responsibilities:
- Lead and direct research projects in AI/ML, focusing on areas relevant to scientific advancement.
- Design, develop, and implement state-of-the-art AI/ML models and algorithms.
- Conduct rigorous experimentation and validation of research hypotheses.
- Analyze large and complex scientific datasets to extract actionable insights.
- Publish research findings in leading scientific journals and present at international conferences.
- Collaborate closely with cross-functional teams of scientists, engineers, and domain experts.
- Mentor and guide junior research scientists, fostering their technical growth.
- Stay abreast of the latest advancements in AI/ML, deep learning, and related fields.
- Contribute to the strategic direction of the R&D department and identify new research opportunities.
- Develop and maintain high-quality research code and documentation.
- Evaluate and integrate novel AI/ML tools and technologies into research workflows.
- Secure intellectual property through patents and publications.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Physics, or a related quantitative field.
- 10+ years of post-doctoral or industry research experience in AI/ML.
- Proven track record of leading successful research projects and delivering impactful scientific outcomes.
- Deep expertise in machine learning algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Experience working with large-scale scientific datasets and high-performance computing environments.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong publication record in top-tier scientific venues.
- Excellent communication and presentation skills, with the ability to articulate complex scientific concepts clearly.
- Demonstrated leadership capabilities and experience mentoring scientific staff.
- Ability to work independently and collaboratively in a fully remote setting, managing complex projects autonomously.
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Principal AI Research Scientist (Remote)
Posted 22 days ago
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Responsibilities:
- Lead cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement novel AI algorithms and models to solve complex, real-world problems.
- Design and conduct experiments, analyze results, and publish findings in top-tier conferences and journals.
- Collaborate with engineering teams to translate research breakthroughs into practical AI solutions and products.
- Mentor and guide junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in AI and emerging technologies, identifying opportunities for research and development.
- Define research strategies and project roadmaps, aligning them with the company's strategic objectives.
- Present research findings and technical concepts to both technical and non-technical audiences.
- Contribute to the intellectual property portfolio through patents and publications.
- Champion ethical AI practices and ensure responsible development of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 10+ years of post-doctoral research experience in AI/ML, with a strong publication record in leading AI venues.
- Deep expertise in one or more AI subfields (e.g., deep learning architectures, NLP, CV, RL).
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch.
- Proven ability to lead research projects from conception to completion.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Outstanding remote communication, collaboration, and presentation skills.
- Experience in mentoring and leading research teams.
- Ability to work independently and drive innovation in a remote environment.
- A strong understanding of the broader AI landscape and its potential applications.
Principal AI Engineer (Remote)
Posted 13 days ago
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Key Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning and deep learning models.
- Define the technical roadmap and strategy for AI initiatives within the organization.
- Develop and optimize algorithms for various AI applications, including natural language processing, computer vision, and predictive analytics.
- Build and maintain robust MLOps pipelines for model training, deployment, monitoring, and management.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing products and services.
- Mentor and guide junior AI engineers and data scientists.
- Stay abreast of the latest research, trends, and technologies in the field of AI and machine learning.
- Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
- Ensure the scalability, reliability, and security of AI systems.
- Communicate complex AI concepts and project outcomes to technical and non-technical stakeholders.
- Contribute to the company's intellectual property through research and innovation.
- Troubleshoot and resolve complex technical challenges related to AI model performance and deployment.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 7 years focused on AI/ML development.
- Proven track record of successfully developing and deploying production-ready AI models.
- Expertise in multiple programming languages, especially Python, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of ML algorithms, deep learning architectures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
- Strong background in data engineering, feature engineering, and data preprocessing.
- Excellent analytical, problem-solving, and algorithmic thinking skills.
- Exceptional communication and leadership abilities, with a passion for mentoring.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
- Published research in top-tier AI/ML conferences or journals is highly desirable.
This is an unparalleled opportunity for a leading AI expert to shape groundbreaking technologies in a dynamic, fully remote setting and drive significant business impact for our client.
Principal AI Research Engineer - Remote
Posted 4 days ago
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Key Responsibilities:
- 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.
Qualifications:
- 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.