Ai Consulting Analyst
hace 2 meses
**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**:
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