Lead Artificial Intelligence

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,