14 Machine Learning Engineers jobs in Nairobi
Senior AI Research Scientist - Deep Learning
80101 Nairobi, Nairobi
KES800000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning to join their cutting-edge research team. This is a fully remote, **Malindi, Kilifi, KE** based position, offering the flexibility to work from anywhere. You will be at the forefront of developing novel AI algorithms and solutions that address complex real-world challenges. Your primary responsibilities will include designing, implementing, and evaluating advanced deep learning models for tasks such as natural language processing, computer vision, and reinforcement learning. You will conduct rigorous theoretical and empirical research, staying abreast of the latest advancements in the field. Collaboration is key; you will work closely with other researchers, engineers, and product managers to translate research breakthroughs into practical applications. The ideal candidate will have a strong publication record in top-tier AI conferences and journals, demonstrating a deep understanding of machine learning theory and practice. You will also be expected to mentor junior researchers, contribute to the intellectual property portfolio, and present findings to both technical and non-technical audiences. A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 5 years of relevant research experience. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is essential. Experience with cloud platforms (AWS, GCP, Azure) and distributed training techniques is highly desirable. Excellent problem-solving skills, strong analytical abilities, and a passion for innovation are paramount for success in this role. Join us and make a significant impact on the future of artificial intelligence.
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0
Principal AI Research Scientist - Deep Learning
80100 Nairobi, Nairobi
KES250000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is at the forefront of innovation and seeks a distinguished Principal AI Research Scientist specializing in Deep Learning to join their dynamic team. This on-site role is dedicated to pushing the boundaries of artificial intelligence, focusing on the research, development, and implementation of state-of-the-art deep learning models and algorithms. You will lead ambitious research projects, explore novel AI architectures, and contribute to groundbreaking advancements in areas such as machine vision, natural language processing, and reinforcement learning. The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a significant publication record in top-tier AI conferences and journals. You will be responsible for designing and conducting experiments, analyzing complex datasets, and translating research findings into practical applications. Strong programming skills in Python and proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. You will collaborate with a team of world-class researchers and engineers, mentoring junior scientists and guiding strategic research directions. This position requires a visionary thinker with a deep theoretical understanding and a hands-on approach to problem-solving. The ability to conceptualize, prototype, and validate novel AI solutions is paramount. You will contribute to patent applications and shape the intellectual property of the company, driving future technological development.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models.
- Lead research projects from conception to completion, including experimentation and validation.
- Analyze large and complex datasets to extract insights and train models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to integrate AI models into production systems.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Contribute to patent applications and intellectual property development.
- Present research findings to internal and external stakeholders.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience (8+ years) in AI research and development, with a focus on deep learning.
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience leading research initiatives and mentoring team members.
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1
Machine Learning Engineer
80200 Nairobi, Nairobi
KES400000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a skilled Machine Learning Engineer to join their innovative team, focusing on AI and emerging technologies. This role is designed for an individual passionate about developing and deploying cutting-edge machine learning models to solve complex real-world problems. You will be involved in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The position requires a strong foundation in algorithms, statistical modeling, and programming, with a deep understanding of ML frameworks and libraries. You will collaborate with data scientists, software engineers, and domain experts to translate business needs into actionable ML solutions. This role offers a unique opportunity to work on challenging projects that push the boundaries of AI, contributing to the development of intelligent systems. The hybrid work model allows for both focused remote work and in-person collaboration.
Responsibilities:
Qualifications:
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
Responsibilities:
- Design, build, and maintain scalable machine learning models and algorithms.
- Develop and implement data preprocessing pipelines and feature engineering techniques.
- Train, evaluate, and fine-tune ML models using various frameworks and tools.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions into products and services.
- Conduct research on new ML techniques and technologies to identify potential applications.
- Analyze large datasets to extract insights and inform model development.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain documentation for ML models and processes.
- Stay current with advancements in the field of AI and machine learning.
- Troubleshoot and resolve issues related to ML model performance in production.
- Present findings and technical details to stakeholders.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with data manipulation and analysis tools (e.g., Pandas, Spark).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Familiarity with MLOps principles and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with containerization technologies like Docker is a plus.
- Ability to work effectively in both remote and on-site settings as required.
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
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2
Junior Data Science Trainee
80300 Nairobi, Nairobi
KES30000 month
WhatJobs
Posted 2 days ago
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Job Description
Our client, a dynamic and innovative tech startup focused on leveraging data for business growth, is offering an exciting Junior Data Science Trainee position. This is a fully remote, immersive internship designed for aspiring data scientists eager to gain hands-on experience in a fast-paced environment. You will work closely with experienced data scientists, contributing to real-world projects involving data cleaning, exploratory data analysis, model building, and visualization. This internship provides a fantastic opportunity to develop a strong foundation in data science methodologies, tools, and best practices, all while working from your chosen location.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and implementation of machine learning models under supervision.
- Create data visualizations and reports to communicate findings effectively.
- Collaborate with team members on data-related projects and tasks.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute to discussions on data strategy and insights.
- Help in documenting data processes and methodologies.
- Gain exposure to different aspects of the data science lifecycle.
- Contribute to ad-hoc data analysis requests as needed.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics and mathematics.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of data manipulation libraries (e.g., Pandas, NumPy).
- Enthusiasm for data science and machine learning.
- Excellent problem-solving skills and attention to detail.
- Good communication and collaboration skills, suitable for remote teamwork.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior experience with SQL is a plus.
- Must have a reliable internet connection and a suitable remote work environment.
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3
Remote Senior AI/Machine Learning Engineer - NLP
80200 Nairobi, Nairobi
KES280000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is at the cutting edge of artificial intelligence innovation and is seeking a highly skilled Senior AI/Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their advanced, fully remote research and development team. This position is critical in designing, developing, and deploying state-of-the-art NLP models and algorithms that power next-generation intelligent systems. You will be responsible for tackling complex challenges in areas such as text classification, sentiment analysis, machine translation, and conversational AI. The ideal candidate possesses a strong academic background (MSc or PhD preferred) in Computer Science, AI, or a related field, coupled with significant hands-on experience in building and optimizing NLP models using frameworks like TensorFlow, PyTorch, and scikit-learn. Proficiency in programming languages such as Python is essential. You will lead research initiatives, mentor junior engineers, and collaborate closely with product teams to integrate AI capabilities into user-facing applications. Strong analytical, problem-solving, and communication skills are paramount for working effectively in a remote, collaborative environment. You will be expected to stay abreast of the latest advancements in AI and NLP research, publishing findings where appropriate and contributing to the broader AI community. This is an exceptional opportunity to work on groundbreaking projects, push the boundaries of AI, and contribute to the development of intelligent solutions that will shape the future, all with the flexibility of remote work. We seek an innovative thinker who can drive complex projects from conception to deployment. Your ability to translate complex research into practical, scalable solutions will be key. The primary geographical context for this role, though fully remote, is to support projects influencing the technological development in the region of Malindi, Kilifi, KE , necessitating an understanding of the specific AI needs and data considerations in coastal and developing economic areas.
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4
Lead AI Engineer - Machine Learning Platforms
80100 Nairobi, Nairobi
KES6500000 Annually
WhatJobs
Posted today
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Job Description
Our client, a pioneering technology firm at the intersection of AI and business solutions, is seeking an experienced Lead AI Engineer to architect and build the next generation of their machine learning platforms. This is a fully remote position, offering the flexibility to work from anywhere and influence the direction of AI innovation.
As the Lead AI Engineer, you will be responsible for designing, developing, and deploying scalable and robust machine learning models and MLOps pipelines. You will lead a team of talented AI engineers, providing technical guidance, mentorship, and fostering a culture of innovation. Your core responsibilities will include defining the ML platform architecture, selecting appropriate tools and technologies, and establishing best practices for model development, training, deployment, and monitoring. You will work closely with data scientists and software engineers to ensure seamless integration of ML models into production systems.
A key aspect of this role involves architecting solutions for data ingestion, feature engineering, model training at scale, and efficient model serving. You will be instrumental in developing frameworks and tools that empower data scientists to build and deploy models more effectively. Experience with cloud platforms (AWS, Azure, GCP) and their associated AI/ML services is essential. You will also focus on implementing MLOps principles, including CI/CD for ML, automated testing, and performance monitoring, to ensure the reliability and maintainability of ML systems.
The Lead AI Engineer will stay abreast of the latest advancements in machine learning, deep learning, and AI research, identifying opportunities to leverage new technologies. You will contribute to strategic decisions regarding the company's AI roadmap and research initiatives. Excellent communication skills are vital for collaborating with cross-functional teams, stakeholders, and presenting complex technical concepts clearly. You will also be responsible for identifying and mitigating risks associated with AI development and deployment, ensuring ethical considerations are addressed.
This role requires a passion for building cutting-edge AI systems and a proven ability to lead technical teams in a fast-paced, remote environment. The ideal candidate will possess strong analytical and problem-solving skills, coupled with a deep understanding of software engineering best practices.
Qualifications:
As the Lead AI Engineer, you will be responsible for designing, developing, and deploying scalable and robust machine learning models and MLOps pipelines. You will lead a team of talented AI engineers, providing technical guidance, mentorship, and fostering a culture of innovation. Your core responsibilities will include defining the ML platform architecture, selecting appropriate tools and technologies, and establishing best practices for model development, training, deployment, and monitoring. You will work closely with data scientists and software engineers to ensure seamless integration of ML models into production systems.
A key aspect of this role involves architecting solutions for data ingestion, feature engineering, model training at scale, and efficient model serving. You will be instrumental in developing frameworks and tools that empower data scientists to build and deploy models more effectively. Experience with cloud platforms (AWS, Azure, GCP) and their associated AI/ML services is essential. You will also focus on implementing MLOps principles, including CI/CD for ML, automated testing, and performance monitoring, to ensure the reliability and maintainability of ML systems.
The Lead AI Engineer will stay abreast of the latest advancements in machine learning, deep learning, and AI research, identifying opportunities to leverage new technologies. You will contribute to strategic decisions regarding the company's AI roadmap and research initiatives. Excellent communication skills are vital for collaborating with cross-functional teams, stakeholders, and presenting complex technical concepts clearly. You will also be responsible for identifying and mitigating risks associated with AI development and deployment, ensuring ethical considerations are addressed.
This role requires a passion for building cutting-edge AI systems and a proven ability to lead technical teams in a fast-paced, remote environment. The ideal candidate will possess strong analytical and problem-solving skills, coupled with a deep understanding of software engineering best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of experience in software engineering, with a strong focus on machine learning and AI development.
- Minimum of 3 years of experience leading engineering teams.
- Proven expertise in designing and implementing scalable ML platforms and MLOps pipelines.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Extensive experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Deep understanding of ML algorithms, deep learning architectures, and statistical modeling.
- Experience with containerization technologies (Docker, Kubernetes).
- Excellent understanding of software development best practices, including CI/CD, testing, and version control.
- Strong communication, leadership, and problem-solving skills.
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5
Remote Principal AI Engineer - Machine Learning
80200 Nairobi, Nairobi
KES450000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a visionary and highly experienced Remote Principal AI Engineer specializing in Machine Learning to drive cutting-edge advancements in artificial intelligence. This is a fully remote position, offering the chance to work on groundbreaking AI solutions from anywhere in the world. You will be at the forefront of designing, developing, and deploying sophisticated machine learning models and algorithms that solve complex business problems. Your responsibilities will include researching state-of-the-art AI techniques, identifying opportunities for AI integration, and leading the end-to-end development lifecycle of ML projects, from data acquisition and preprocessing to model training, evaluation, and deployment. You will work with large-scale datasets and leverage advanced statistical modeling, deep learning, and natural language processing techniques. This role requires a strong command of ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and proficiency in programming languages like Python. You will collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into existing and new products. Experience with MLOps, cloud platforms (AWS, Azure, GCP), and distributed computing is essential. This position demands exceptional analytical, problem-solving, and critical thinking skills, as well as the ability to communicate complex technical concepts to diverse audiences. You will mentor junior AI engineers and contribute to shaping the company's AI strategy. A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 10 years of relevant industry experience, including significant experience in a principal or lead AI engineering role. A strong publication record in top AI conferences or journals is a significant plus.
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6
Graduate Data Scientist - Machine Learning
80200 Nairobi, Nairobi
KES80000 month
WhatJobs
Posted 1 day ago
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Job Description
Our client is excited to offer a remote Graduate Data Scientist internship focused on Machine Learning. This is an exceptional opportunity for enthusiastic and driven recent graduates to gain hands-on experience in a fast-paced, innovative environment. You will work alongside experienced data scientists, contributing to real-world projects that leverage machine learning to solve complex business challenges. As a fully remote intern, you will develop critical skills in data analysis, model building, and interpretation, all while collaborating effectively with a distributed team.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for machine learning model training.
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
- Implement algorithms for classification, regression, clustering, and other data mining tasks.
- Visualize data and model results to identify trends and insights.
- Contribute to the documentation of data analysis processes, models, and findings.
- Participate in team meetings and discussions, contributing ideas and insights.
- Learn and apply various machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Support in deploying and monitoring machine learning models in production environments.
- Research and stay updated on the latest advancements in data science and machine learning.
- Collaborate effectively with remote team members through various communication platforms.
- Assist in the interpretation of model performance and provide actionable recommendations.
- Gain practical experience in an end-to-end data science project lifecycle.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning frameworks is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous exposure to data science projects or coursework is beneficial.
This advertiser has chosen not to accept applicants from your region.
7
AI Research Scientist - Machine Learning
80203 Nairobi, Nairobi
KES150000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a highly innovative and skilled AI Research Scientist specializing in Machine Learning to join their cutting-edge research team. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking advancements in artificial intelligence from anywhere. You will be responsible for researching, developing, and implementing advanced machine learning models and algorithms to solve complex problems across various domains. Your work will involve exploring new AI techniques, designing experiments, analyzing results, and translating research findings into practical applications. Key responsibilities include staying abreast of the latest developments in AI and ML, collaborating with cross-functional teams to define research objectives, developing and validating predictive models, and contributing to the publication of research findings. You will also work with large datasets, employing techniques such as deep learning, natural language processing, and computer vision. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record. Proven experience in developing and deploying machine learning models in real-world scenarios is essential. Proficiency in programming languages like Python, and deep learning frameworks such as TensorFlow or PyTorch, is required. Strong analytical, mathematical, and problem-solving skills, along with excellent communication and collaboration abilities, are critical. If you are a passionate AI researcher driven by intellectual curiosity and a desire to push the boundaries of what's possible with AI, this remote role is an ideal fit. Join us in shaping the future of artificial intelligence.
Responsibilities:
Responsibilities:
- Conduct research and development in machine learning and AI.
- Develop and implement advanced ML algorithms and models.
- Analyze large datasets and identify patterns and insights.
- Collaborate with engineers to deploy AI solutions.
- Stay current with AI research trends and methodologies.
- Publish research findings and contribute to intellectual property.
- Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
- Proven experience in machine learning research and development.
- Expertise in deep learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent research, analytical, and communication skills.
This advertiser has chosen not to accept applicants from your region.
8
Lead AI Research Scientist - Machine Learning
80200 Nairobi, Nairobi
KES300000 month
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Lead AI Research Scientist to spearhead groundbreaking research in machine learning. This is a fully remote position, offering the opportunity to work with a world-class team of researchers and engineers from anywhere. You will be instrumental in defining the research agenda, conceptualizing and developing novel AI algorithms, and pushing the boundaries of what's possible in areas such as deep learning, natural language processing, and computer vision.
Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier scientific venues. You will mentor junior researchers, collaborate with product teams to translate research into tangible applications, and stay abreast of the latest advancements in the AI field. This role requires a deep theoretical understanding of AI/ML principles, coupled with strong practical implementation skills. The ideal candidate is a visionary leader passionate about solving complex problems and driving technological progress.
Key Responsibilities:
Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier scientific venues. You will mentor junior researchers, collaborate with product teams to translate research into tangible applications, and stay abreast of the latest advancements in the AI field. This role requires a deep theoretical understanding of AI/ML principles, coupled with strong practical implementation skills. The ideal candidate is a visionary leader passionate about solving complex problems and driving technological progress.
Key Responsibilities:
- Lead and contribute to cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models, particularly in deep learning, NLP, and computer vision.
- Design and execute rigorous experiments to evaluate the performance and effectiveness of AI systems.
- Analyze complex datasets and interpret research findings.
- Publish research results in leading academic conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to translate research breakthroughs into practical product features.
- Stay current with the latest trends, research papers, and advancements in AI/ML.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Present research findings to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more of the following areas: deep learning, natural language processing, computer vision, reinforcement learning.
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, Keras.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and mentor team members.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
- Demonstrated ability to work independently and drive projects to completion.
This advertiser has chosen not to accept applicants from your region.
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