Sub-Saharan AfricaJob OverviewSub-Saharan Africa

Sub-Saharan AfricaAboitiz Data Innovation (ADI) is one of the leading up-and-coming start-ups in the field of Data Science and Artificial Intelligence. We believe data can drive change for a better world by advancing businesses across industries and communities. We are seeking talented (Entry/Senior/Lead) AI Engineers who are passionate about defining and implementing exciting and purposeful features with the help of Generative AI to address evolving client needs. If you are excited to work in a fast-paced start-up environment, this role will provide a great opportunity to grow your career with us.

Sub-Saharan AfricaKey Responsibilities:Sub-Saharan Africa

• Sub-Saharan AfricaLarge Language Model (LLM) Management: Sub-Saharan AfricaDesign and develop independent software features using LLMs.Sub-Saharan Africa
• Sub-Saharan AfricaData Analysis:Sub-Saharan Africa Analyze large datasets of both structured and unstructured data to extract meaningful insights and identify patterns.Sub-Saharan Africa
• Sub-Saharan AfricaAlgorithm Improvement: Sub-Saharan AfricaContinuously improve the performance of AI algorithms and software features by tuning and optimizing parameters.Sub-Saharan Africa
• Sub-Saharan AfricaExperimentation:Sub-Saharan Africa Conduct experiments to test hypotheses and validate the performance of LLM features and AI models.Sub-Saharan Africa
• Sub-Saharan AfricaIntegration: Sub-Saharan AfricaWork closely with software engineers to integrate developed LLM features into production systems.Sub-Saharan Africa
• Sub-Saharan AfricaCollaboration:Sub-Saharan Africa Collaborate with cross-functional teams, including data scientists, product managers, and software developers, to deliver AI-driven solutions.Sub-Saharan Africa
• Sub-Saharan AfricaDocumentation:Sub-Saharan Africa Document AI models, processes, and findings to ensure reproducibility and knowledge sharing.Sub-Saharan Africa

Sub-Saharan AfricaRequirements:Sub-Saharan Africa

• Sub-Saharan Africa+5 years exp in either software development and/or data science.Sub-Saharan Africa
• Sub-Saharan AfricaExperience with techniques using natural language processing (NLP).Sub-Saharan Africa
• Sub-Saharan AfricaTechnical Skills:Sub-Saharan Africa
• Sub-Saharan AfricaProficiency in programming languages such as Python, or Java.Sub-Saharan Africa
• Sub-Saharan AfricaProficiency in using software development tools such as Github.Sub-Saharan Africa
• Sub-Saharan AfricaFamiliarity with Sub-Saharan Africaany of the followingSub-Saharan Africa machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras.Sub-Saharan Africa
• Sub-Saharan AfricaStrong understanding of Sub-Saharan AfricaLLMsSub-Saharan AfricaSub-Saharan Africa, data structures, Sub-Saharan AfricaAI algorithmsSub-Saharan AfricaSub-Saharan Africa, and statistical methods.Sub-Saharan Africa
• Sub-Saharan AfricaExperience with data preprocessing, feature engineering, and model evaluation techniques.Sub-Saharan Africa
• Sub-Saharan AfricaSoft Skills: Excellent problem-solving skills, strong analytical abilities, and the capacity to work collaboratively in a team environment.Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Sub-Saharan Africa