Senior AI Engineer Full-time

Descriptions & Requirements

Job Description and Requirements

Senior AI Engineer

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.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.