Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
Detecting, evaluating, and applying relevant RAI dimensions (bias, fairness, robustness explainability, etc.) in AI systems; working on mitigating the identified risks. Supporting client sales conversations and proposal preparation
Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
Contributing to the development of internal guidelines, best practices for responsible AI development, and technical training.
Staying updated with current AI trends, ethical considerations, and technological advancements.
Assisting in the identification and correction of biases in datasets and AI models.
Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.
Requirements & Skills:
Minimum of 6 years of experience in:
Experience in developing and deploying machine learning models and AI solutions. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles
Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with big data technologies and tools (e.g., Hadoop, Spark).
Experience with database management and data processing.
Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
Bachelor’s degree or college diploma in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Strong problem-solving and analytical skills.
Ability to work collaboratively in a team environment and communicate effectively with team members.
Commitment to ethical AI development and continuous learning in the field.
Ability to manage multiple projects and priorities in a fast-paced environment.
Excellent documentation and presentation skills for technical and non-technical audiences.
