We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are: You are a visionary in the AI and machine learning space, with a passion for pushing the boundaries of technology. With an advanced degree in Science or Engineering and over 5 years of experience in diverse scientific and technological domains, you bring a unique blend of expertise. You have a proven track record in applying machine learning and AI methods to solve complex problems, particularly in corporate applications. Proficient in programming languages like Python, you have a solid grasp of data structures and algorithms, especially those found in generative AI applications. Your experience with Large Language Models (LLMs), Generative Pre-trained Transformers (GPT), and other generative AI techniques stands out.

You excel in both independent and collaborative environments, demonstrating strong problem-solving skills. Your excellent communication and presentation abilities allow you to convey complex technical concepts to a wide range of stakeholders. You are adept at data cleansing and modeling for deep learning in domains such as language, image, or graphs, and you have hands-on experience with cloud-based machine learning platforms like AWS, GCP, or Azure. Your deep understanding of AI trends and experience with frameworks like TensorFlow or PyTorch make you a valuable asset to any team.

What You’ll Be Doing:

• Architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.
• Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations to meet corporate function needs.
• Collaborating with cross-functional teams to design and develop scalable AI solutions that align with internal business objectives.
• Participating in generative AI platform teams to ensure alignment with application requirements, deployment models, and release timelines for corporate functions.
• Communicating complex technical concepts and findings to both technical and non-technical stakeholders within the organization.
• Leading solution architecture reviews, platform alignment, and deployment models for generative AI applications tailored to internal corporate functions.
• Driving innovation in new generative AI approaches and staying up-to-date on the latest research in the field, specifically for enterprise applications.

The Impact You Will Have:

• Enhancing the organization's capabilities in AI and machine learning, directly contributing to improved efficiency and effectiveness in internal corporate functions.
• Improving the efficiency and performance of internal processes through advanced AI techniques.
• Shaping the future of corporate methodologies with cutting-edge generative AI solutions.
• Enabling the development of high-performance AI applications that streamline HR, Finance, Legal, and other internal processes.
• Contributing to strategic goals with a direct impact on department results and overall organizational efficiency.
• Leading initiatives that push the boundaries of technological innovation and execution excellence within the corporate environment.

What You’ll Need:

• Advanced degree in Science or Engineering with 5+ years of experience in diverse scientific and technological domain
• 1-2 years of experience in technical project leadership 
• 1+ years of experience applying machine learning and AI methods to corporate or business problems.
• Proficiency in Python and a solid background in data structures and algorithms.
• Experience with LLMs, GPT models, and other generative AI techniques.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and presentation skills.
• Hands-on experience in data cleansing and modeling for deep learning models in at least one corporate domain (e.g., HR, Finance, Legal).
• Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure.

Specific Experiences:

• Proven experience in developing AI-driven applications for internal corporate functions such as HR analytics, financial forecasting, legal document analysis, or customer service automation.
• Familiarity with enterprise software ecosystems such as ERP (Enterprise Resource Planning) systems, CRM (Customer Relationship Management) systems, and other business management software.
• Experience in integrating AI solutions with corporate IT infrastructure, including databases, data warehouses, and API management.
• Knowledge of data privacy regulations and compliance issues, especially those relevant to corporate data (e.g., GDPR, CCPA).
• Experience in designing and implementing AI models that can handle large-scale corporate data, including structured and unstructured data sources.
• Practical experience with enterprise data integration tools and ETL (Extract, Transform, Load) processes.
• Experience in deploying AI solutions in a corporate environment, ensuring scalability, reliability, and performance optimization.
• Familiarity with project management methodologies and tools commonly used in corporate settings.

Who You Are:

• A visionary leader in AI and machine learning.
• A collaborative team player and an independent problem-solver.
• An excellent communicator capable of translating complex technical concepts for diverse audiences.
• A continuous learner who stays updated with the latest advancements in AI and machine learning.
• A proactive innovator who drives technological progress within the corporate environment.

The Team You’ll Be A Part Of: You will be part of a dynamic team focused on leveraging AI and machine learning to revolutionize internal corporate functions. Our team collaborates across various departments, bringing together diverse expertise to develop innovative solutions that drive efficiency and effectiveness.