Note: Must have: Hands-on experience Used ai tools Machine learning ? 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 ow... more details
Note: Must have: Hands-on experience Used ai tools Machine learning ? 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.
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