AI Engineer, Staff

at  Synopsys

52062BR
CANADA - Ontario - Markham, CANADA - Ontario - Mississauga, CANADA - Ontario - Toronto

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 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 demands a deep understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers.

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++.
• 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.

• 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.