Responsible AI - Engineering Associate Manager

Qualifications Here’s What You Need: ·        Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields. ·        Manager experience: 6-8 years ·        Senior Manager: 8-10 years ·        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 on 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. ·        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.   Bonus Points If You Have: ·        Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields are beneficial. ·        Certifications in AI, machine learning, or data science. ·        Prior experience in projects focused on ethical AI or AI for social good. ·        Knowledge of AI ethics, data privacy, and regulatory frameworks. ·        Experience with AI model interpretability and explainability tools. Specialized visualization techniques (D3.js, ggplot etc.) ·        Project Management Experience ·        Linguistic proficiency (to a reasonable business level) in a language other than English