Lead AI Engineer Full-time

Descriptions & Requirements

Job Description and Requirements

Lead – AI Engineer (Staff)

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 and experienced Lead/Staff AI Engineer to join our dynamic and innovative team. As a Staff 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. This role requires understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers.

Key Responsibilities:

• AI/ML Solution Development: Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems.
• Technical Leadership: Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques.
• Research & Innovation: 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.
• Collaboration: Work closely with product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions.
• Data Analysis & Preprocessing: Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models.
• Model Training & Evaluation: Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.
• Deployment & Monitoring: Deploy AI models into production environments, and monitor their performance, making adjustments as necessary to maintain optimal operation.
• Documentation: Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team.
• Compliance & Ethics: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is a plus.
• Experience: Minimum of 5 years of experience in AI and machine learning, with a proven track record of deploying AI solutions in a production environment.
• Technical Skills:
  • Strong proficiency in programming languages such as Python or C++.
  • Very good understanding of data structures, algorithms and design patterns.
  • Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of statistical analysis, data mining, and data visualization techniques.
  • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
  • Familiarity with version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum).
• Soft Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Proven leadership and mentorship abilities.

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.