**AI Consulting Analyst** **Main Responsibilities**: - Conduct Research and Develop Proof of Concepts - Assist in building and deploying ML models and AI solutions, and support data collection and preparation for ML projects - Participate in discussions about AI best practices, challenges, opportunities **Education Level**: Professional in Computer Science, Engineering, Data Science. **English Level**:Advanced **Years of Experience**:1 - 2 Years **Specific Knowledge**: - Beginner understanding of AI and machine learning concepts, with familiarity in building and deploying simple machine learning models. - Basic understanding of chatbot development and a strong interest in learning about various bot technologies. - Familiarity with Microsoft technologies, including Azure AI Services and Copilot for automation, with a proactive attitude towards learning new tools. **Technical Skills**: - AI & Machine Learning Frameworks - Programming Proficiency - Python - Data Management/Modeling - Data Engineering (Basic Level - Nice to have) **Technical Skills**: - ** AI & Machine Learning**: - Foundational understanding of machine learning concepts and familiarity with building and deploying simple ML models. - Experience with ML frameworks such as Scikit-learn is required; familiarity with TensorFlow or PyTorch is a plus. - **Data Modeling & SQL**: - Experience working with relational databases, with solid knowledge of SQL for querying, cleaning, and transforming data for AI/ML models. - **Programming**: - Proficiency in **Python** for data analysis, with experience using libraries like Pandas and NumPy. - **Bot Development (Foundational)**: - Familiarity with the basics of chatbot or conversational agent development. No deep experience required, but an interest in learning and exploring bot technologies is expected. - **Data Engineering (Nice-to-Have)**: - Basic knowledge of data pipelines, ETL processes, or exposure to tools like **Azure Data Factory** is beneficial but not essential. - **Microsoft Technologies (Nice-to-Have)**: - Exposure to Microsoft technologies like **Azure AI Services** (Azure ML, Cognitive Services) or **Copilot** for automation and AI-driven solutions is a plus, but not required. An interest in learning these tools is encouraged. **Business & Analytical Skills**: - ** Business Understanding**: - Ability to translate business needs into technical solutions. Must understand how AI and data-driven approaches can improve business processes. - **Client Engagement**: - Strong communication skills, with the ability to work with clients to gather requirements and help define use cases for AI/ML solutions. - **Problem Solving**: - Analytical mindset with a focus on using data and AI tools to identify and solve business challenges. **Strategic & Tactical Thinking**: - ** AI Strategy Development (Foundational)**: - Interest in understanding how AI fits into broader business strategies. Basic exposure to identifying AI use cases is a plus. - **Innovation & Continuous Learning**: