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