5,403 Lead AI Machine Learning Engineer Remote jobs in Kenya
Lead Machine Learning Engineer (Remote)
Posted 22 days ago
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Job Description
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and systems.
- Lead the end-to-end ML lifecycle, including data preparation, feature engineering, model training, and evaluation.
- Architect robust and efficient ML pipelines for production environments.
- Mentor and guide a team of machine learning engineers and data scientists.
- Drive the adoption of best practices in MLOps, model versioning, and continuous integration/deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Evaluate and select appropriate ML algorithms and tools for specific problems.
- Monitor and maintain deployed ML models, ensuring performance and reliability.
- Conduct research on state-of-the-art ML techniques and technologies.
- Contribute to the strategic direction of the AI/ML roadmap.
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering or a related role, with at least 2 years in a lead capacity.
- Strong expertise in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in building and deploying production-level ML systems.
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and team collaboration abilities.
- Ability to thrive in a fast-paced, fully remote work environment.
Lead AI Engineer (Remote)
Posted 22 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of AI and machine learning models and algorithms.
- Architect robust and scalable AI systems and solutions.
- Mentor and guide junior AI engineers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams to define AI project requirements and roadmaps.
- Stay abreast of the latest advancements in AI, ML, and data science.
- Develop and maintain AI infrastructure, including data pipelines and training environments.
- Evaluate and select appropriate tools, frameworks, and technologies for AI development.
- Conduct research and experiment with new AI techniques and approaches.
- Optimize AI models for performance, accuracy, and efficiency.
- Present technical findings and project progress to stakeholders.
- Ensure the ethical and responsible development of AI systems.
- Contribute to the overall technical strategy of the AI department.
- Manage project timelines and deliverables for AI initiatives.
- Troubleshoot and resolve complex technical challenges in AI development.
- Write high-quality, well-documented code.
- This is a fully remote role, although the company has a presence in **Ruiru, Kiambu, KE**.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with a strong portfolio of deployed solutions.
- Proven experience in leading AI projects and teams.
- Expertise in Python and major ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various machine learning algorithms (supervised, unsupervised, reinforcement learning).
- Experience with deep learning architectures (CNNs, RNNs, Transformers).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Ability to work independently and collaboratively in a remote environment.
Lead AI Engineer - Emerging Technologies - Remote
Posted 7 days ago
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Job Description
Responsibilities:
- Lead a team of AI engineers in developing and deploying AI solutions.
- Define technical strategy and roadmap for emerging AI technologies.
- Design and architect scalable and robust AI systems.
- Develop and implement advanced machine learning and deep learning models.
- Oversee data engineering pipelines and model training processes.
- Implement MLOps best practices for efficient deployment and monitoring.
- Collaborate with product managers and stakeholders to define project requirements.
- Mentor junior engineers and foster a culture of technical excellence.
- Evaluate and integrate new AI technologies and tools.
- Ensure the performance, reliability, and security of AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of experience in AI/ML engineering and development.
- Proven experience leading technical teams and managing complex AI projects.
- Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch).
- Experience with cloud computing platforms (AWS, Azure, GCP) and associated AI services.
- Strong software engineering skills and experience with MLOps practices.
- Excellent problem-solving, analytical, and architectural design skills.
- Demonstrated ability to lead and motivate remote engineering teams.
- Strong communication and presentation skills.
- Experience with generative AI, NLP, or computer vision is a plus.
Remote Lead Research Scientist - AI/ML
Posted 17 days ago
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Job Description
Responsibilities:
- Lead and direct research projects in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and implement novel AI/ML algorithms and models to solve complex problems.
- Conduct rigorous experimental validation and performance analysis of research prototypes.
- Collaborate with product development teams to translate research findings into practical applications and features.
- Stay abreast of the latest academic research and industry advancements in AI/ML.
- Publish research findings in top-tier conferences and journals where appropriate.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and innovation.
- Develop and manage research roadmaps, ensuring alignment with company strategic goals.
- Secure and manage research grants or funding where applicable.
- Present research progress and outcomes to technical and executive leadership.
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- A minimum of 7 years of experience in AI/ML research, with a proven track record of significant contributions (publications, patents, successful product integrations).
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages commonly used in AI/ML research (e.g., Python, TensorFlow, PyTorch, scikit-learn).
- Strong theoretical and practical understanding of machine learning algorithms and statistical modeling.
- Experience leading research teams and managing research projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Ability to work effectively in both independent and collaborative settings.
Lead AI Research Scientist - Remote Machine Learning Models
Posted 22 days ago
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Job Description
Key Responsibilities:
- Lead research initiatives in AI and Machine Learning, focusing on developing innovative algorithms and models.
- Design, implement, and validate complex ML models for various applications.
- Conduct in-depth research on emerging AI trends and technologies.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor and guide junior researchers and engineers in the AI/ML domain.
- Develop frameworks and tools to support AI/ML development and experimentation.
- Identify opportunities to apply AI to solve challenging business problems.
- Stay current with the latest academic and industry advancements in AI.
- Present research progress and findings to technical and non-technical stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8+ years of experience in AI research and development, with a strong publication record.
- Deep expertise in areas such as deep learning, neural networks, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong mathematical and statistical background.
- Proven ability to lead research projects from conception to implementation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote research environment and collaborating effectively with distributed teams.
- Demonstrated ability to think creatively and independently.
- This position is fully remote, with the main focus on contributing to projects and research relevant to the technological landscape in and around Kitale, Trans-Nzoia, KE .
Lead R&D Scientist - AI in Biotechnology (Remote)
Posted 19 days ago
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Job Description
Responsibilities:
- Lead the design and execution of research projects focused on applying AI/ML to complex biological challenges.
- Develop and implement sophisticated machine learning models for data analysis, pattern recognition, and predictive modeling in genomics, proteomics, and drug discovery.
- Oversee the acquisition, processing, and interpretation of large biological datasets (e.g., next-generation sequencing, high-throughput screening).
- Collaborate closely with internal and external stakeholders, including biologists, chemists, clinicians, and data scientists, to define research objectives and translate findings into actionable insights.
- Mentor and guide junior researchers, fostering a culture of scientific excellence and innovation.
- Stay at the forefront of advancements in AI, machine learning, bioinformatics, and relevant biotechnology fields.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Manage research budgets and resources effectively.
- Ensure compliance with ethical guidelines and regulatory requirements in research.
- Contribute to the intellectual property strategy through patent filings and disclosures.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Genetics, or a related quantitative field.
- A minimum of 7 years of post-doctoral or industry research experience, with a significant portion focused on AI/ML in biological contexts.
- Proven experience in leading research teams and managing R&D projects.
- Expertise in various machine learning techniques (e.g., deep learning, reinforcement learning, natural language processing) and their application to biological data.
- Proficiency in programming languages such as Python, R, and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of molecular biology, genomics, and drug discovery processes.
- Experience with high-performance computing environments and cloud platforms.
- Excellent written and verbal communication skills, with a strong publication record.
- Demonstrated ability to think critically, solve complex problems, and drive innovation.
- Experience with data visualization tools and techniques.
Remote Lead Machine Learning Engineer
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead and mentor a team of machine learning engineers, fostering a culture of innovation and technical excellence.
- Architect, design, and implement scalable and robust machine learning systems and pipelines.
- Develop, train, and evaluate advanced machine learning models for various applications (e.g., prediction, classification, natural language processing, computer vision).
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliverables.
- Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model selection, training, and validation.
- Deploy ML models into production environments, ensuring performance, scalability, and reliability.
- Monitor and maintain deployed models, implementing strategies for continuous improvement and retraining.
- Stay abreast of the latest research, techniques, and tools in machine learning and AI.
- Contribute to the development of best practices and standards for ML development and MLOps.
- Conduct code reviews and provide technical guidance to team members.
- Communicate complex technical concepts and findings effectively to both technical and non-technical stakeholders.
- Identify opportunities for applying ML to solve business problems and drive innovation.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in machine learning engineering, with a strong track record of delivering production-ready ML solutions.
- Proven experience leading and managing ML engineering teams.
- Deep understanding of various machine learning algorithms and their theoretical underpinnings.
- Proficiency in programming languages such as Python, Java, or Scala, and extensive experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools and practices.
- Strong background in data manipulation, feature engineering, and statistical analysis.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and collaboration abilities, with experience working in remote, distributed teams.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience in (mention specific AI domain if relevant, e.g., NLP, CV, Recommender Systems) is highly desirable.
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Lead AI Research Scientist (Remote)
Posted 22 days ago
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Lead Data Scientist - AI Research (Remote)
Posted 6 days ago
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Lead Remote AI Research Scientist
Posted 10 days ago
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Job Description
Responsibilities:
- Lead and conduct advanced research in AI, machine learning, and deep learning areas.
- Develop and implement novel algorithms and models for complex AI problems.
- Design and execute experiments to evaluate and validate AI solutions.
- Analyze large datasets to extract insights and drive model improvements.
- Stay abreast of the latest advancements in AI research and literature.
- Mentor and guide junior researchers and engineers in AI development.
- Collaborate with product and engineering teams to integrate research findings into production systems.
- Publish research papers in top-tier AI conferences and journals.
- Present research findings to technical and non-technical audiences.
- Contribute to the strategic direction of AI research initiatives.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Significant experience (5+ years) in AI research and development, with a strong portfolio of published work.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various AI domains, including NLP, computer vision, reinforcement learning, etc.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts.
- Proven leadership experience and the ability to manage research projects effectively.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.