Roles and Responsibilities:
- Design, implement, and optimize AI-driven solutions based on business and stakeholder requirements.
- Develop and deploy machine learning and statistical models to generate actionable insights from complex datasets.
- Apply Generative AI (GenAI), traditional ML, NLP, computer vision, and predictive analytics techniques where relevant.
- Collect, clean, and preprocess structured and unstructured datasets for model training and evaluation.
- Utilize MLOps practices and cloud platforms to ensure scalable and ethical deployment of AI solutions.
- Translate business objectives into technical AI/ML strategies aligned with stakeholder needs.
- Apply strategic thinking and business acumen to evaluate business problems and design impactful solutions.
- Manage AI and Data Science project lifecycles from data exploration to deployment using agile methodologies.
- Define and measure KPIs to assess the effectiveness and business impact of AI solutions.
- Collaborate with cross-functional teams to integrate AI models into existing systems.
- Present analytical findings to both technical and non-technical audiences using dashboards and data visualizations.
- Continuously learn and apply emerging AI technologies, frameworks, and development best practices.
