19 Machine Learning Engineer jobs in Nairobi
Machine Learning Engineer
80200 Nairobi, Nairobi
KES400000 Annually
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Posted 2 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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0
Remote Senior AI/Machine Learning Engineer - NLP
80200 Nairobi, Nairobi
KES280000 Annually
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Posted today
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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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1
Senior AI Research Scientist - Deep Learning
80101 Nairobi, Nairobi
KES800000 Annually
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Posted 2 days ago
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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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2
Principal AI Research Scientist - Deep Learning
80100 Nairobi, Nairobi
KES250000 Annually
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Posted 3 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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3
Remote Principal AI Engineer - Machine Learning
80200 Nairobi, Nairobi
KES450000 Annually
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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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4
Graduate Data Scientist - Machine Learning
80200 Nairobi, Nairobi
KES80000 month
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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.
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5
Senior Data Scientist
80201 Nairobi, Nairobi
KES350000 Annually
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Posted today
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Job Description
Our client, a cutting-edge technology firm, is seeking a highly skilled Senior Data Scientist to lead advanced analytics initiatives and drive data-informed decision-making. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for developing and implementing sophisticated machine learning models, performing complex data analysis, and deriving actionable insights from large, diverse datasets. The ideal candidate will have a strong background in statistics, machine learning algorithms, data mining, and predictive modeling. Expertise in programming languages such as Python or R, along with experience in data visualization tools (e.g., Tableau, Power BI) and SQL databases, is required. You will work closely with engineering and product teams to understand business needs, define analytical approaches, and deploy models into production environments. Key responsibilities include feature engineering, model training, validation, and performance monitoring. You will also be involved in designing and conducting A/B tests and experiments. Excellent communication skills are essential for translating complex technical findings into clear, concise recommendations for non-technical stakeholders. You will mentor junior data scientists and contribute to the overall data science strategy. This role offers a challenging and rewarding opportunity to innovate and solve complex problems using data, impacting our products and services for users in the **Malindi, Kilifi, KE** region and across the globe. Your expertise will be instrumental in uncovering patterns, predicting trends, and driving business growth through advanced analytics.
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6
Lead Data Scientist
80200 Nairobi, Nairobi
KES300000 Annually
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Posted 3 days ago
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Job Description
Our client is seeking an accomplished and visionary Lead Data Scientist to spearhead their advanced analytics and machine learning initiatives. This is a fully remote, high-impact role where you will guide a team of data scientists in developing sophisticated predictive models and data-driven insights. You will be responsible for defining research directions, overseeing the end-to-end data science project lifecycle, and ensuring the highest standards of analytical rigor and technical execution. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques, along with exceptional leadership and communication skills. Your responsibilities will include mentoring and developing junior data scientists, collaborating with cross-functional teams to identify business opportunities, and translating complex analytical findings into actionable business strategies. We are looking for a strategic thinker with a proven ability to deliver impactful data science solutions in a research and development context. Expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Spark, Hadoop), and experience with cloud-based ML platforms are essential. Familiarity with deep learning frameworks and MLOps practices is highly desirable. This remote position requires strong analytical, problem-solving, and project management skills. You will be instrumental in shaping our data strategy and driving innovation through advanced analytics. This is a unique opportunity to lead a talented team and make a significant contribution to our scientific research and development efforts. The successful candidate will be a thought leader, passionate about leveraging data to solve complex problems and drive scientific discovery. We value individuals who demonstrate creativity, intellectual curiosity, and a commitment to excellence in data science. The role is based in **Malindi, Kilifi, KE**, but will be conducted entirely remotely.
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7
Remote Junior Data Scientist
80200 Nairobi, Nairobi
KES25000 month
WhatJobs
Posted 1 day ago
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Job Description
Our client is actively seeking enthusiastic and driven Remote Junior Data Scientists to join their innovative team as interns. This fully remote internship offers a unique opportunity to gain hands-on experience in data analysis, machine learning, and predictive modeling within a supportive and collaborative environment. You will work alongside seasoned data scientists, contributing to real-world projects and developing practical skills. This role is ideal for recent graduates or individuals looking to kickstart their career in data science. You will be involved in data collection, cleaning, exploration, and assisting in the development of data-driven solutions. The focus will be on learning and applying fundamental data science concepts and techniques.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify patterns and insights.
- Support the development and implementation of machine learning models under supervision.
- Contribute to the visualization of data and findings for reports and presentations.
- Collaborate with senior data scientists on assigned projects.
- Learn and apply various statistical and machine learning techniques.
- Help in testing and validating models and algorithms.
- Document methodologies, code, and results clearly.
- Participate in team meetings and training sessions.
- Gain practical experience in a remote data science setting.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, particularly in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A passion for uncovering insights from data.
- Previous exposure to data science projects or academic research within the Malindi, Kilifi, KE vicinity is a plus, but not required for this remote internship.
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8
Senior Data Scientist, Bioinformatics
40100 Nairobi, Nairobi
KES4800000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a pioneering organization in biological research, is looking for a talented Senior Data Scientist specializing in Bioinformatics to join their team. This role offers a hybrid work model, allowing for both collaborative in-office sessions and remote flexibility. You will be instrumental in analyzing large-scale biological datasets, developing predictive models, and extracting actionable insights to drive groundbreaking scientific discoveries.
Key Responsibilities:
Key Responsibilities:
- Design and implement advanced statistical and machine learning models for analyzing complex biological data, including genomics, proteomics, and transcriptomics.
- Develop and maintain bioinformatics pipelines for data processing, quality control, and variant calling.
- Collaborate with research scientists, clinicians, and other stakeholders to define research questions and translate biological problems into data science challenges.
- Visualize and interpret complex biological data to identify patterns, trends, and potential therapeutic targets.
- Develop and apply novel computational approaches to accelerate biological research and drug discovery.
- Stay abreast of the latest advancements in bioinformatics, data science, and relevant biological domains.
- Contribute to the development and maintenance of databases and data warehousing solutions for biological information.
- Present research findings and methodologies at scientific conferences and in peer-reviewed publications.
- Mentor junior data scientists and bioinformaticians, fostering knowledge sharing and skill development.
- Ensure the integrity, reproducibility, and security of all analyzed data and computational workflows.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field with a strong focus on biological applications.
- Minimum of 5 years of experience in bioinformatics and data science, with a proven track record of impactful research.
- Proficiency in programming languages commonly used in bioinformatics, such as Python (with libraries like Biopython, Pandas, NumPy, Scikit-learn) and R.
- Extensive experience with relevant bioinformatics tools, databases (e.g., NCBI, Ensembl), and analysis methods (e.g., GWAS, RNA-Seq analysis, protein structure prediction).
- Strong understanding of biological pathways, molecular biology, genetics, and disease mechanisms.
- Experience with high-performance computing environments and cloud platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- Experience with data visualization tools and techniques.
- Ability to work independently and manage multiple projects in a dynamic research environment.
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