2,791 Principal Machine Learning Engineer jobs in Kenya
Principal Machine Learning Engineer, Computer Vision
Posted 2 days ago
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Principal Machine Learning Engineer - Advanced AI Systems
Posted 2 days ago
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Principal Machine Learning Engineer - Generative AI (Remote)
Posted 2 days ago
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Responsibilities:
- Lead the research, design, development, and optimization of large-scale generative AI models (e.g., LLMs, diffusion models).
- Architect and implement robust ML pipelines for training, fine-tuning, and deploying generative models.
- Develop novel algorithms and techniques to improve model performance, efficiency, and capabilities.
- Collaborate closely with product managers, researchers, and other engineers to define project scope and objectives.
- Evaluate and select appropriate frameworks, tools, and technologies for ML development and deployment.
- Conduct rigorous experimentation and analysis to validate model effectiveness and identify areas for improvement.
- Mentor and guide junior ML engineers, fostering best practices in coding, experimentation, and documentation.
- Stay at the forefront of advancements in generative AI research and apply new findings to practical applications.
- Publish research findings and contribute to the broader AI community through papers and presentations.
- Ensure responsible AI practices are integrated into the model development lifecycle, addressing bias and ethical considerations.
- Optimize models for production environments, focusing on scalability, latency, and resource utilization.
- This is a fully remote position, demanding excellent communication and collaboration skills to thrive in a distributed team. Success will be measured by impact and innovation, not by physical proximity.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of professional experience in Machine Learning, with at least 5 years focused on Deep Learning and Generative AI.
- Proven track record of designing, training, and deploying state-of-the-art generative models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with ML libraries (e.g., NumPy, SciPy, Pandas).
- Experience with distributed training and cloud platforms (e.g., AWS, GCP, Azure).
- Deep understanding of transformer architectures, GANs, VAEs, diffusion models, and other generative techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership skills, with the ability to mentor and influence.
- Experience working in a remote-first or distributed team environment is a significant advantage.
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) are highly desirable.
Principal AI & Machine Learning Engineer (Remote)
Posted 2 days ago
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Responsibilities:
- Lead the design, development, and implementation of sophisticated AI and Machine Learning models and algorithms.
- Conduct research into state-of-the-art ML techniques, evaluate their potential impact, and integrate them into production systems.
- Develop and deploy scalable ML pipelines for data preprocessing, feature engineering, model training, and inference.
- Collaborate closely with product managers, data scientists, and software engineers to define AI/ML roadmaps and feature requirements.
- Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Architect and build robust, production-ready AI systems that are reliable, efficient, and maintainable.
- Evaluate and select appropriate tools, frameworks, and technologies for AI/ML development and deployment.
- Stay ahead of the curve on emerging AI/ML trends, research papers, and industry best practices.
- Present complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the intellectual property of the company through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of hands-on experience in developing and deploying AI/ML models in production environments.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in programming languages like Python, Java, or Scala, and experience with ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Hadoop).
- Proven track record of leading complex technical projects and mentoring teams.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Exceptional communication, collaboration, and leadership abilities, essential for remote work.
- Published research in top-tier AI/ML conferences or journals is a significant plus.
Principal AI Engineer, Machine Learning
Posted 1 day ago
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Principal AI Engineer, Machine Learning
Posted 2 days ago
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Key Responsibilities:
- Lead the research, development, and implementation of cutting-edge machine learning algorithms and models.
- Design and architect scalable AI systems and platforms.
- Develop and deploy predictive models, recommendation engines, natural language processing (NLP) systems, and computer vision solutions.
- Collaborate with data scientists and engineers to curate, clean, and preprocess large datasets.
- Evaluate and select appropriate machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Optimize model performance, efficiency, and scalability for production environments.
- Stay abreast of the latest advancements in AI and machine learning research and apply them to solve complex business problems.
- Mentor and guide junior AI engineers and researchers.
- Publish research findings and present work at leading AI conferences.
- Ensure the ethical and responsible development and deployment of AI technologies.
- This fully remote role requires exceptional leadership, strategic thinking, and communication skills. You must be a proactive problem-solver and an excellent collaborator in a virtual environment. A strong publication record and experience with large-scale AI deployments are highly desirable. Join our client in pioneering the next generation of AI, remotely contributing from **Kitale, Trans-Nzoia, KE**, and beyond.
Principal AI Engineer, Machine Learning
Posted 2 days ago
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Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning models and algorithms.
- Architect and build robust, scalable AI systems for production environments.
- Research and apply state-of-the-art AI/ML techniques to address challenging business problems.
- Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions.
- Develop and maintain data pipelines, feature engineering processes, and model training infrastructure.
- Evaluate and optimize model performance, ensuring accuracy, efficiency, and reliability.
- Stay at the cutting edge of AI research and identify opportunities for innovation.
- Mentor junior AI engineers and contribute to the team's technical growth.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Contribute to the intellectual property and strategic direction of the company's AI initiatives.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML engineering, with a strong focus on developing and deploying production-grade models.
- Expertise in programming languages such as Python, with extensive experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various machine learning algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Proven ability to architect and build scalable AI systems.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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Principal AI Engineer - Machine Learning (Remote)
Posted 2 days ago
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Principal AI Engineer - Machine Learning (Remote)
Posted 2 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and AI systems.
- Architect scalable and robust ML solutions for various business applications.
- Conduct research and stay abreast of the latest advancements in AI and ML.
- Optimize model performance, efficiency, and deployment strategies.
- Collaborate with cross-functional teams to define AI project requirements and deliverables.
- Mentor and guide junior AI engineers and data scientists.
- Develop and implement MLOps practices for seamless model deployment and monitoring.
- Evaluate and integrate new AI technologies and tools.
- Present technical findings and project progress to stakeholders.
- Ensure the ethical development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of experience in AI/ML engineering, with a significant focus on developing production-ready models.
- Expertise in various ML algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras.
- Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Solid understanding of software engineering best practices and MLOps principles.
- Proven ability to lead complex AI projects and deliver tangible business value.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills for a remote team environment.
- Experience with natural language processing (NLP) or computer vision is a plus.
Principal AI Engineer - Machine Learning Operations
Posted 2 days ago
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