Job Summary:

Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.

We are seeking a highly skilled Senior AI Engineer to join our dynamic and innovative team. As a Senior AI Engineer, you will play a critical role in designing, developing, and deploying advanced AI and machine learning solutions. You will collaborate with cross-functional teams to drive AI initiatives and contribute to the development of cutting-edge technologies that enhance our products and services. The ideal candidate will have a strong foundation in machine learning algorithms, data structures, and computer science fundamentals. This role provides an excellent opportunity for growth and learning in a fast-paced, innovative environment.

Key Responsibilities:

• Assist in design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems.
• Work closely with product managers, architects, and other stakeholders to support AI projects and initiatives.
• Stay up to date with the latest advancements in AI and machine learning technologies and apply them to improve existing systems or develop new solutions.
• Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.
• Document processes, models, and experiments clearly and share the knowledge with the team.
  

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum of 3 years of experience in machine learning and software engineering
• Strong proficiency in programming languages such as Python, or C++.
• Very good understanding of data structures, algorithms and design patterns.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.