AI Specialist

Key Responsibilities: 1. Generative AI and ML Development Design, develop, and implement GenAI models and applications Optimize existing GenAI systems for improved performance and efficiency Stay current with the latest advancements in GenAI technologies Create and manage the AI/ML development process and infrastructure 2. Collaboration and Communication Work closely with data scientists, programmers, and other stakeholders Communicate the utility of AI models to diverse audiences, including product managers and executives Translate complex technical concepts into accessible language for non-technical team members 3. Data Analysis and Infrastructure Conduct statistical analysis and interpret findings to drive decision-making Create and manage data transformation infrastructure Automate critical tasks and procedures for the data science team 4. Model Deployment and Integration Expose machine learning and GenAI models via APIs for integration with other applications Develop and maintain API documentation for seamless integration Collaborate on system integration projects to ensure smooth implementation of AI solution 5. Innovation and Research Explore new GenAI techniques and methodologies to enhance product capabilities Contribute to the company's AI strategy and roadmap 6. Evaluation Develop and implement testing protocols for GenAI models Ensure the reliability, scalability, and performance of AI systems Conduct regular audits of AI models to maintain accuracy and ethical standards Requirement: Master's or Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a closely related field 6-8 years of relevant work experience in software development, with a focus on AI and frontend technologies Minimum of 4+ years' experience in a similar role involving AI development and implementation Strong background in AI, particularly in Generative AI technologies Experience with natural language processing (NLP) and computer vision Knowledge of ethical AI practices and data privacy regulations Solid knowledge of data warehousing, database systems, and cloud platforms (e.g., AWS, Azure, or GCP) Experience with data mining techniques and methodologies Excellent organizational and analytical abilities Outstanding problem-solving skills, with the ability to tackle complex technical challenges Strong statistical analysis skills and the ability to interpret findings effectively