Lead development and deployment of large-scale AI/ML and LLM solutions at Autodesk. Mentor data science teams and measure product impact through experimentation.
Responsibilities
Collaborate with Product, Engineering, and Business leaders to translate complex business challenges into testable hypotheses and impactful data science solutions
Develop & deploy end-to-end AI/ML pipelines, partnering with data engineers from data preprocessing to model training, validation, deployment, and monitoring
Design and implement advanced statistical & experimentation frameworks, including post-launch causal inference techniques (e.g. A/B testing, propensity score matching)
Lead exploration and application of Generative AI to develop scalable solutions such as AI assistants to support platform capabilities
Build machine learning applications including personalization, recommendation, and ranking systems to improve customer workflows and drive product adoption
Mentor and guide junior data scientists, conduct technical reviews, and promote best practices in experimentation, model development, and MLOps
Collaborate with a team of data scientists to develop AI/ML models over large-scale data addressing business problems and driving product innovation
Translate insights into actionable recommendations and guide business strategy through clear communication with cross-functional teams
Serve as subject matter expert advising leaders and may lead functional teams or programs within function
Report to the Senior Manager of Data Science, PSET
Préférence pour les candidats pouvant travailler en mode hybride/à distance à Toronto ou à Montréal, Canada.
Requirements
Bachelor's or master's degree (preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field, or equivalent work experience
8+ years of experience in data science, machine learning, or AI
Proven track record of delivering successful AI-driven solutions at scale
Expertise in developing and deploying machine learning models in large-scale environments
Focus on deep learning, reinforcement learning, or natural language processing
Proficient with statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and multivariate methods
Hands-on experience with design and analysis of A/B and multivariate experiments
Strong proficiency in Python
Experience using machine learning libraries such as PyTorch & associated libraries
Experience working with cloud environments like AWS and leveraging offerings such as Lambda, Bedrock, SageMaker
Hands-on expertise in AI and LLM development with finetuning expertise in real-world business environments
Excellent communication skills, ability to present technical concepts to non-technical stakeholders
Preferred: strong publication record in top-tier AI/ML conferences and journals
Preferred: experience deploying AI models for real-time applications in manufacturing or construction
Preferred: strong knowledge of MLOps practices for model deployment and scaling
Preferred: proven leadership and mentorship experience
Licence ou master (de préférence) en informatique, science des données, apprentissage automatique, intelligence artificielle ou domaine connexe, ou expérience professionnelle équivalente
Plus de 8 ans d'expérience en science des données, apprentissage automatique ou IA
Maîtrise de Python et de bibliothèques comme PyTorch
Expérience des environnements cloud AWS (Lambda, Bedrock, SageMaker)
Expertise pratique en développement d'IA et de LLM avec expertise en finition
Benefits
Salary is one part of Autodesk’s competitive compensation package.
Offers are based on the candidate’s experience and geographic location.
In addition to base salaries, our compensation package may include annual cash bonuses.
Commissions for sales roles.
Stock grants.
A comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk.
Les offres sont basées sur l'expérience et la situation géographique du candidat.
En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces.
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