1,144 AI Ml Engineer jobs in Kenya
AI/ML Engineer, Natural Language Processing
Posted today
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Job Description
Responsibilities:
- Design, develop, and implement NLP models and algorithms for various text-based tasks.
- Process, clean, and prepare large volumes of text data for model training.
- Train, evaluate, and fine-tune machine learning models using deep learning frameworks.
- Deploy NLP models into production environments, ensuring scalability and performance.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay up-to-date with the latest research and advancements in NLP and AI.
- Conduct experiments, analyze results, and provide insights for model improvement.
- Contribute to the development of AI/ML infrastructure and tooling.
- Document research findings, methodologies, and model performance.
- Mentor junior team members and share knowledge on NLP techniques.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on NLP.
- 3+ years of professional experience in AI/ML engineering, with a specialization in NLP.
- Strong theoretical and practical knowledge of NLP techniques (e.g., transformers, RNNs, LSTMs, embeddings).
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Experience with NLP libraries such as Hugging Face Transformers, spaCy, NLTK.
- Familiarity with data processing, machine learning pipelines, and MLOps practices.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Contributions to the AI research community or open-source NLP projects are highly valued.
- Exposure to the tech landscape in **Mlolongo, Machakos, KE** or similar emerging tech hubs is advantageous.
AI/ML Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
AI/ML Engineer - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, build, and maintain NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Develop and implement natural language understanding (NLU) and natural language generation (NLG) systems.
- Preprocess and clean large volumes of text data, ensuring data quality and relevance.
- Experiment with various machine learning algorithms and deep learning architectures (e.g., Transformers, LSTMs, CNNs) for NLP tasks.
- Fine-tune pre-trained language models (e.g., BERT, GPT) for specific applications.
- Evaluate model performance using appropriate metrics and conduct rigorous testing.
- Deploy NLP models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Stay current with the latest research and advancements in NLP and machine learning.
- Contribute to the development of our AI platform and best practices.
- Document models, code, and experimental results thoroughly.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3+ years of hands-on experience in developing and deploying NLP models.
- Strong programming skills in Python and proficiency with ML/DL libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of NLP techniques, algorithms, and frameworks (e.g., NLTK, SpaCy, Hugging Face Transformers).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
- Proficiency in data preprocessing, feature engineering, and model evaluation.
- Experience with version control systems (e.g., Git).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a fully remote team.
- Experience with big data technologies (e.g., Spark) is a plus.
Senior AI/ML Engineer, Natural Language Processing
Posted today
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms.
- Conduct research and apply state-of-the-art NLP techniques to solve complex problems.
- Process, clean, and analyze large volumes of text data.
- Train, evaluate, and deploy machine learning models for NLP tasks.
- Collaborate with cross-functional teams to integrate AI/ML solutions into products.
- Optimize model performance and scalability.
- Stay current with the latest advancements in AI, ML, and NLP research.
- Mentor junior AI/ML engineers and contribute to technical leadership.
- Develop and maintain technical documentation.
- Contribute to the development of MLOps pipelines for AI model deployment and monitoring.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5-7 years of professional experience in AI/ML engineering with a specialization in NLP.
- Proven experience in developing and deploying NLP models for real-world applications.
- Expertise in Python and ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong knowledge of NLP libraries and tools (e.g., NLTK, spaCy, Hugging Face Transformers).
- Experience with cloud computing platforms (AWS, Azure, GCP).
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with experience in remote teams.
- Publications in relevant AI/ML conferences or journals are a plus.
Senior AI/ML Engineer - Natural Language Processing
Posted today
Job Viewed
Job Description
Responsibilities:
- Design, develop, train, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Implement and optimize deep learning architectures, including Transformers, LSTMs, and CNNs, for NLP applications.
- Utilize state-of-the-art NLP libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, spaCy).
- Conduct research and experimentation to advance the state-of-the-art in NLP.
- Collaborate with data scientists, software engineers, and product managers to integrate NLP solutions into products and services.
- Preprocess and analyze large volumes of text data, ensuring data quality and integrity.
- Evaluate model performance, identify areas for improvement, and implement optimization strategies.
- Stay current with the latest research and developments in AI, ML, and NLP.
- Contribute to technical documentation, code reviews, and knowledge sharing within the team.
- Mentor junior engineers and contribute to building a strong AI/ML engineering culture.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 5-7 years of experience in AI/ML engineering, with a strong focus on Natural Language Processing.
- Proven expertise in developing and deploying production-ready NLP models.
- In-depth knowledge of machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of NLP techniques, concepts, and architectures (e.g., word embeddings, attention mechanisms, sequence-to-sequence models).
- Proficiency in programming languages such as Python.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with experience working effectively in remote, cross-functional teams.
- Ability to work independently and manage complex projects.
Principal AI/ML Engineer - Natural Language Processing
Posted today
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Job Description
As a remote Principal Engineer, you will spearhead research and development efforts in areas such as text classification, sentiment analysis, named entity recognition, machine translation, and large language models (LLMs). You will collaborate closely with data scientists, software engineers, and product managers across distributed teams to integrate AI solutions into scalable products and services. Your responsibilities will include evaluating and implementing state-of-the-art NLP techniques, optimizing model performance, and ensuring the ethical and responsible application of AI. This position demands a strong theoretical foundation, practical implementation skills, and the ability to mentor junior team members in a virtual setting.
Key Responsibilities:
- Lead the research, design, and development of advanced NLP models and algorithms.
- Develop and implement solutions for various NLP tasks, including text generation, summarization, question answering, and chatbot development.
- Build and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Evaluate and benchmark NLP models, optimize performance for efficiency and accuracy.
- Collaborate with data engineering teams to curate and preprocess large text datasets.
- Stay abreast of the latest advancements in NLP, machine learning, and artificial intelligence research.
- Mentor and guide junior AI/ML engineers and data scientists.
- Translate complex business requirements into robust AI/ML solutions.
- Contribute to the overall AI strategy and roadmap of the organization.
- Publish research findings and present work at conferences and to internal stakeholders.
- Ensure the responsible and ethical deployment of AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML engineering, with a strong specialization in NLP.
- Proven track record of developing and deploying production-level NLP models.
- Deep understanding of NLP techniques, including word embeddings, transformers, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
- Proficiency in programming languages such as Python, and libraries like NLTK, spaCy, Hugging Face Transformers.
- Experience with large language models (LLMs) and their applications.
- Strong background in machine learning theory and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to lead technical discussions remotely.
- Experience in leading research projects and mentoring junior engineers.
Join a team that is shaping the future of artificial intelligence. This is a premier opportunity for an experienced NLP expert to drive innovation in a fully remote environment. Make your mark on groundbreaking AI advancements.
Senior AI/ML Engineer (Natural Language Processing)
Posted today
Job Viewed
Job Description
- Design, develop, and deploy advanced NLP models and algorithms.
- Build and optimize machine learning pipelines for data processing and model training.
- Conduct research into new NLP techniques and applications.
- Collaborate with cross-functional teams to define AI project requirements.
- Evaluate and improve the performance of existing NLP systems.
- Stay current with the latest advancements in AI, ML, and NLP research.
- Write clean, maintainable, and efficient code in Python or other relevant languages.
- Present findings and technical concepts to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Ensure ethical considerations and bias mitigation in AI models.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Minimum of 5 years of experience in AI/ML engineering, with a strong focus on NLP.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Expertise in NLP libraries and tools (e.g., Hugging Face Transformers, spaCy, NLTK).
- Strong programming skills in Python and experience with data science libraries (e.g., Pandas, NumPy).
- Solid understanding of machine learning algorithms, statistical modeling, and evaluation metrics.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and lead complex projects in a remote setting.
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Senior AI/ML Engineer - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and deploy advanced NLP models and algorithms.
- Conduct research and experimentation with state-of-the-art NLP techniques and deep learning architectures.
- Manage the end-to-end ML pipeline, including data acquisition, preprocessing, feature engineering, model training, and evaluation.
- Collaborate with product managers and software engineers to integrate NLP solutions into existing products.
- Analyze and interpret large-scale text data to identify patterns and insights.
- Optimize model performance for efficiency, scalability, and accuracy.
- Mentor junior AI/ML engineers and contribute to knowledge sharing.
- Stay current with the latest advancements in NLP and machine learning research.
- Participate in code reviews and contribute to robust software engineering practices.
- Present findings and technical details to both technical and non-technical audiences.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of professional experience in AI/ML engineering with a strong focus on NLP.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in Transformer models (BERT, GPT, etc.) and common NLP libraries (e.g., Hugging Face, SpaCy, NLTK).
- Strong programming skills in Python.
- Experience with cloud computing platforms (AWS, Azure, GCP) and MLOps.
- Solid understanding of machine learning theory and statistical modeling.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with large-scale data processing and distributed computing is a plus.
Remote AI/ML Engineer (Natural Language Processing)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced NLP models for various applications, including text classification, sentiment analysis, entity recognition, and summarization.
- Preprocess and analyze large volumes of text data, performing feature engineering and selection.
- Train, evaluate, and fine-tune machine learning and deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
- Deploy NLP models into production environments, ensuring scalability, efficiency, and reliability.
- Collaborate with cross-functional teams to understand business needs and translate them into AI/ML solutions.
- Stay abreast of the latest research and advancements in NLP and machine learning.
- Develop and maintain robust data pipelines and MLOps practices for NLP models.
- Conduct experiments to test hypotheses and improve model performance.
- Write clean, well-documented, and efficient code.
- Contribute to the overall AI strategy and roadmap of the company.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of experience in developing and deploying NLP models in a professional setting.
- Strong proficiency in Python programming and experience with ML/DL frameworks (TensorFlow, PyTorch, scikit-learn).
- Deep understanding of NLP techniques, algorithms, and libraries (NLTK, spaCy, Hugging Face Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Proven ability to work independently and manage complex projects.
- Experience with big data technologies (e.g., Spark) is advantageous.
- Publications in relevant AI/ML conferences or journals are a plus.
Senior AI/ML Engineer - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, train, and deploy advanced NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Implement and experiment with various NLP techniques, including but not limited to, named entity recognition, topic modeling, sentiment analysis, and text generation.
- Work with large-scale text datasets, including data cleaning, preprocessing, and feature engineering.
- Develop and refine algorithms for natural language understanding (NLU) and natural language generation (NLG).
- Collaborate with data scientists, software engineers, and product managers to integrate NLP solutions into products and services.
- Stay at the forefront of NLP research and advancements, identifying and implementing innovative approaches.
- Conduct rigorous experimentation, evaluation, and validation of NLP models to ensure performance and accuracy.
- Optimize NLP models for efficiency, scalability, and deployment in production environments.
- Contribute to the design and architecture of AI/ML systems and pipelines.
- Mentor junior engineers and researchers, sharing expertise in NLP and machine learning.
- Publish research findings in relevant conferences and journals (if applicable).
- Write clean, efficient, and well-documented code for NLP applications.
- Ensure ethical considerations and bias mitigation are addressed in NLP model development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying NLP models in a production environment.
- Strong proficiency in Python and deep learning libraries such as TensorFlow, PyTorch, or Keras.
- In-depth knowledge of classical NLP techniques and modern deep learning architectures (e.g., Transformers, LSTMs, CNNs).
- Experience with NLP libraries like NLTK, SpaCy, Hugging Face Transformers.
- Solid understanding of machine learning principles, algorithms, and evaluation metrics.
- Experience working with large datasets and distributed computing frameworks (e.g., Spark).
- Excellent problem-solving skills and the ability to tackle complex, open-ended challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, global team.
- Proven ability to stay current with the rapidly evolving field of AI and NLP.
- Experience with cloud platforms (AWS, Azure, GCP) for ML deployment is a plus.
- Publications in top-tier AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS) are highly regarded.