Staples is business to business. You’re what binds us together. 

Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

Join our Staples World Class Supply Chain Team and deliver essential products to our customers.

What you’ll be doing: 
Design and implement end-to-end AI solutions for various business domains and use cases, leveraging Generative AI and AI/ML/NLP technologies. Lead the AI solution lifecycle from ideation to production, collaborating with cross-functional teams of data scientists, software engineers, product managers, and designers. Define the high-level architecture and technical requirements of the AI solutions, ensuring alignment with the business objectives and stakeholder expectations. Evaluate and select the appropriate GenAI models, frameworks, and tools for the AI solutions, and oversee the development, testing, deployment, and monitoring of the AI systems. Provide thought leadership and guidance on the best practices and methodologies for AI solution development and delivery.

What you bring to the table: 

• Design and implement end-to-end AI solutions using various frameworks and tools.
• Research and Development: Stay abreast of the latest advancements in AI/GenAI, explore novel applications, and develop proof-of-concept projects.
• Solution Architecture: Define the high-level architecture and technical requirements of the AI solutions, ensuring scalability, reliability, security, and performance.
• Model Selection and Fine-tuning: Select and fine-tune pretrained GenAI models (e.g., GPT4o, LLaMa) for specific tasks, including text generation, image creation, code synthesis, etc.
• Data Exploration and Preparation: Prepare and analyze data sets for training and evaluation of GenAI models, ensuring data quality and addressing potential biases.
• Experimentation and Evaluation: Conduct experiments to assess the performance of GenAI models and compare different architectures and approaches.
• Application Integration: Develop and integrate GenAI models into existing or new applications, leveraging frameworks like LangChain for seamless orchestration.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, product managers, and designers to bring GenAI solutions to life.
• Contribute to Knowledge Sharing: Document your findings, share best practices, and contribute to the team's knowledge base.
• Monitor and evaluate the performance and accuracy of AI solutions in production.
• Identify and troubleshoot issues related to data quality, model drift, scalability, and reliability.
• Optimize and automate the AI solution lifecycle using MLOps best practices.
• Provide thought leadership and guidance on the best practices and methodologies for AI solution development and delivery.

What’s needed- Basic Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field expertise.
• Hands-on experience with popular GenAI LLM models (e.g., GPT-3, LLaMa, Mixtral), SLM’s with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar).
• Strong experience in designing and implementing end-to-end AI solutions using Python, PyTorch, leveraging Databricks, Snowflake or similar frameworks and tools.
• Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains.
• Experience in feature engineering, data preprocessing, model tuning, and evaluation.
• Experience in MLOps, CI/CD, cloud computing, and containerization technologies.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and in a team environment.
• Degree in Computer Science, Artificial Intelligence, or a related field experience.
• 5+ years of experience in AI/ML, with a strong focus on Generative AI.
• Deep understanding of NLP, deep learning, and data analysis techniques.
• Experience with large language models (LLMs), text generation, and image gen.
• Strong programming skills in Python, along with experience in data manipulation libraries (e.g., Pandas, NumPy).
• Passion for innovation and a desire to explore the frontiers of AI.
• Bonus:
• Experience with cloud platforms (Azure, GCP) and their AI/ML services.
• Familiarity with vector data stores (e.g., FAISS, Qdrant, Azure Search, Databricks).

We Offer: 

• Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits

Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.

Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.