Responsibilities :
Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.
Additional Responsibilities:
Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience: Minimum of 3 years of experience in AI, generative AI, and analytics.
Technical and Professional Requirements:
Proficiency in programming languages such as Python.
Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
Strong understanding of machine learning algorithms and statistical methods.
Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets.
