1,149 Nlp Engineer jobs in Kenya

• Designing and implementing cutting-edge NLP models and algorithms.
• Developing and deploying production-ready NLP systems at scale.
• Fine-tuning and optimizing pre-trained language models (e.g., BERT, GPT) for specific tasks.
• Conducting research on new NLP techniques and evaluating their potential impact.
• Building robust data pipelines for training and evaluating NLP models.
• Collaborating with backend engineers to integrate NLP services into applications.
• Mentoring junior AI/ML engineers and contributing to team knowledge sharing.
• Ensuring the ethical and responsible development of AI systems.
• Staying updated with the latest advancements in NLP, LLMs, and conversational AI.
• Contributing to technical documentation and thought leadership.

• Lead the design, development, and implementation of advanced NLP models and applications.
• Develop and fine-tune large language models (LLMs) for various tasks.
• Implement techniques such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
• Build robust and scalable NLP pipelines for data processing and model deployment.
• Collaborate with product managers and software engineers to integrate NLP capabilities into products.
• Evaluate and benchmark NLP model performance using appropriate metrics.
• Stay up-to-date with the latest research and advancements in NLP and deep learning.
• Mentor junior AI engineers and contribute to technical knowledge sharing.
• Optimize NLP models for efficiency and performance in production environments.
• Write clean, maintainable, and well-documented code.
• Contribute to the overall AI strategy and roadmap.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• 5+ years of experience in AI/ML engineering, with a strong focus on NLP.
• Demonstrated experience building and deploying production-ready NLP models.
• Expertise in NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch.
• Strong understanding of deep learning architectures relevant to NLP (e.g., RNNs, LSTMs, Transformers).
• Proficiency in Python and associated data science libraries.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Solid software engineering skills, including experience with version control (Git) and CI/CD pipelines.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities, comfortable working in a remote setting.
• Experience with large datasets and distributed computing is a plus.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Support the development and implementation of statistical models and machine learning algorithms.
• Collaborate with senior data scientists to analyze data and extract meaningful insights.
• Create data visualizations and dashboards to communicate findings effectively.
• Learn and apply programming languages such as Python or R for data analysis and modeling.
• Participate in team meetings, contribute ideas, and learn from experienced professionals.
• Document code, methodologies, and project findings.
• Assist in testing and validating data models.
• Gain exposure to various data science tools and platforms.
• Develop a strong understanding of business problems and how data can provide solutions.

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving skills.
• Basic understanding of programming concepts, preferably Python or R.
• Familiarity with basic statistical concepts.
• Excellent communication and teamwork skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage tasks effectively in a remote environment.
• A genuine interest in data science and machine learning.
• Familiarity with data visualization tools is a plus.

• 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 programming languages such as Python or R.
• Basic understanding of statistical concepts and machine learning principles.
• Familiarity with data manipulation and analysis tools (e.g., SQL, Pandas).
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• A genuine interest in data and its applications.

• Develop and implement state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
• Design and build robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Conduct research and experimentation to explore new algorithms and techniques in NLP and ML.
• Collaborate with product managers and software engineers to integrate ML solutions into production systems.
• Analyze and interpret large datasets to extract meaningful insights and inform model development.
• Optimize model performance for accuracy, efficiency, and scalability.
• Stay abreast of the latest advancements in NLP, ML, and AI research.
• Contribute to the team's knowledge base through documentation and presentations.
• Troubleshoot and debug ML models and systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience in developing and deploying NLP models in a production environment.
• Strong understanding of natural language processing techniques, algorithms, and evaluation metrics.
• Proficiency in programming languages such as Python.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and relevant libraries.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fully remote, agile team environment.
• A passion for AI and a drive for innovation.

• Data Preprocessing and Exploration
• Feature Engineering and Selection
• Supervised and Unsupervised Machine Learning Algorithms (e.g., Regression, Classification, Clustering)
• Model Evaluation and Tuning
• Introduction to Deep Learning Concepts
• Data Visualization and Storytelling
• Programming with Python (libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
• Big Data Technologies (exposure to platforms like Spark)
• Version Control (Git) and Collaboration Tools
• Best practices for remote collaboration and communication in a tech environment.

• Strong analytical and quantitative skills.
• Proficiency in at least one programming language, preferably Python.
• Understanding of basic statistics and calculus.
• A keen interest in data science, machine learning, and artificial intelligence.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and manage time effectively in a remote setting.
• Good communication skills, with the ability to explain technical concepts to a non-technical audience.
• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
• Must be eligible to work remotely from Kenya.

You are applying to be part of the Novartis Talent Pool. We are not currently recruiting for this role, but we are building a pipeline for future opportunities. If you would like to be considered for a similar position in the future, then please submit your CV.
Key Responsibilities

• Drive innovation using data science, AI, and effective data management to solve complex business challenges
• Translate analytical findings into clear, actionable recommendations for non-technical stakeholders
• Develop and implement pathways for effective data use across analytical functions
• Present insights through smart visualization and storytelling to influence strategic decisions
• Allocate team resources efficiently, manage change, and resolve operational risks proactively
• Collaborate with internal teams, external partners, and institutions to deliver impactful solutions
• Evaluate and adopt new technologies and tools to enhance data science practices and efficiency

Essential Requirements

• Minimum of 5 years of experience in data science, with a strong record of applied analytics
• Proven expertise in Python and R programming for statistical analysis and machine learning
• Deep understanding of data governance, data quality, and master data management principles
• Experience with big data technologies and platforms, including Apache Spark
• Strong communication skills to present complex insights to non-technical stakeholders
• Fluent in English, with the ability to collaborate across global, cross-functional teams

Desirable Requirements

• Experience publishing in peer-reviewed journals or presenting at professional conferences
• Familiarity with cross-industry collaboration and external working groups

Commitment to Diversity and Inclusion / EEO:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Primary Location: Prague, CZ

Other Locations: Barcelona, Spain

Relocation Support: This role is based in Prague, CZ. Novartis is unable to offer relocation support: please only apply if accessible.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development and implementation of machine learning models under the guidance of senior data scientists.
• Create data visualizations and reports to communicate findings to technical and non-technical audiences.
• Contribute to the documentation of data science projects and methodologies.
• Learn and apply statistical techniques and algorithms.
• Collaborate with team members on data-related tasks and projects.
• Participate in team meetings and contribute to problem-solving discussions.
• Gain exposure to data warehousing, big data technologies, and cloud platforms.
• Stay updated on emerging trends and techniques in data science and artificial intelligence.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Solid understanding of statistical concepts and methodologies.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Basic knowledge of machine learning algorithms and concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage tasks effectively in a remote setting.
• Familiarity with SQL is a plus.