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Ai Technology
1 month ago
ID 2024-1252
Category Information Technology
Position Type Salaried
Remote No
Shift Time 40
Location Montvale
Overview
At Benjamin Moore, we empower our team members to achieve their goals and make a positive impact in our communities. We offer a rewarding and inspiring work environment that fosters creativity, collaboration, and a strong sense of camaraderie. Our culture of excellence and transparency encourages our colleagues to bring their authentic selves and unique perspectives/ideas every day. With 140 years of rich history behind our brand, we know that our people are the driving force behind our success. We believe in investing in our colleagues by offering work-life balance, competitive/ benefits, ongoing learning/continuing education, and skill development. Through a positive and engaging workplace, we facilitate growth, development, and fulfillment for all.
Join us and be a part of a brand that inspires creativity, innovation, and passion in support of locally-owned stores around the world.
Click here to see how you can paint your future
Benjamin Moore is seeking a talented Technology Automation Engineer to join our dynamic team. As a Technology Automation Engineer, you will play a key role in developing and implementing generative AI models to optimize various aspects of our digital processes. You will collaborate with cross-functional teams to design, implement, and deploy AI and other automation solutions that enhance efficiency, reduce costs, add value to the end-user experience, and improve our competitive advantage in the marketplace.
Responsibilities
Responsible for guiding vendors, engineers, solution architects, and other technical staff to ensure successful delivery and ongoing evolution of digital products. The successful candidate will have a proven track record in solution engineering. Drive product improvements by partnering with business partners and key stakeholders in defining and improving the customer experience. Will also be responsible for owning the technical implementation planning and execution of these digital products.
Lead the development effort in building scalable, extensible, secure applications while employing best practices.
Collaborate with platform vendors to assess and isolate issues and identify opportunities for improvement.
Evaluate new vendor platforms that may potentially be useful for future engagements.
Research, design, and develop generative AI models tailored to address specific challenges within the manufacturing, distribution, and consumer domains.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to gather requirements and understand business needs.
Continuously analyze and optimize existing generative AI models for performance, accuracy, and efficiency.
Stay abreast of the latest developments in AI and machine learning technologies to identify opportunities for innovation within the manufacturing context.
Work closely with production teams to integrate AI solutions seamlessly into existing workflows and other digital domains.
Provide technical expertise and guidance on AI-related projects, ensuring alignment with business goals.
Required Knowledge and Desired Skills
Qualifications
Proven experience leading software engineering teams. Must have a passion for being involved in the full cycle of product development - from ideation to deployment.
A bachelor's degree in engineering, computer science, information systems, or a related field from an accredited college or university is preferred.
5+ years of experience designing/developing distributed, scalable cloud-based solutions using serverless technologies with Node, Python, and/or C# as well as JavaScript client-side technologies (React, Angular).
The role requires a deep understanding of automation technologies, including generative AI, machine learning (ML), and technical proficiency in programming languages, tools, and AI techniques, including deep learning, neural networks, Natural language processing, and hands-on experience with Machine learning frameworks such as TensorFlow, PyTorch or sci-kit-learn.
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform with a preference toward Azure experience.
Ability to lead hybrid teams composed of vendor and internal resources.
Ability to complete all phases of SDLC, including analysis, design, development, testing, and support utilizing Scrum/Agile methodologies.
Ability to innovate and provide functional applications with intuitive interfaces.
Proven analytical and problem-solving abilities.
Ability to interpret complex business requirements and encapsulate business logic/rules into reusable libraries.
Strong understanding and demonstrated usage of object-oriented design concepts.
Experience with software versioning and release management.
Strong ability to exercise independent judgment, effectively prioritize, and execute tasks while under pressure.
Experience working both independently and in a team-oriented, collaborative environment.
Excellent communication skills.
Compensation Philosophy
At Benjamin Moore, our brand represents excellence, and we strive to provide a comprehensive total rewards package to match. In addition to competitive base salary, every exempt and non-exempt role in our organization is eligible for a performance-based annual raise and bonus in recognition of their efforts that contribute to the success of our organization. We conduct regular pay audits, using both external market data and internal comparisons to ensure that our employees are compensated fairly and equitably. During our annual compensation review, we implement merit, equity, and promotion increases after a full calibration across all roles. We believe that benefits should connect you to the support you need when it matters most. In addition to our monetary compensation package, Benjamin Moore provides a full range of benefits that are personalized to help support you physically, financially, and emotionally, both through the big milestones and in your everyday life.
Diversity, Equity & Inclusion
At Benjamin Moore, we believe diversity of culture, talent, and varying perspectives is key to a collaborative, innovative, and successful business. We are committed to driving change within our organization through purposeful Diversity, Equity & Inclusion (DE&I) efforts, while also focusing on our customers and communities in which we serve. Our DE&I efforts allow each of us to authentically live our corporate values of Openness, Integrity, Community, Excellence and Safety. Our Social Impact programming of strategic local and national partnerships, in-kind donations, volunteerism, and more expands our ability to make a difference in the lives of all of our stakeholders. We hope you will join us and become an advocate for diversity and inclusion here at Benjamin Moore.
At Benjamin Moore & Co, we don't just accept difference - we celebrate it, we support it, and we thrive because it benefits our employees, our products, and our community. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benjamin Moore is proud to be an equal opportunity employer.
Student Loan Repayment Assistance Program
Benjamin Moore provides Student Loan Repayment Assistance Program to support eligible active employees who graduated from an accredited post-secondary educational institution. The Repayment Program is intended to contribute to reducing employee's student loans. The Company follows all rules and regulations concerning the taxability of student loan repayments provided under applicable law.
EOE
Benjamin Moore & Co. is an equal-opportunity employer that is committed to a culture of inclusion and diversity. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Our commitment to these principles means all employment decisions are made based on qualifications, merit, and business need.
