AI - Staff Engineer (Mississauga)

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. 

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++. 
• 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. 

Rewards and Benefits: 

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. 

Inclusion and Diversity: 

Synopsys considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law.