As a Principal Architect, you'll be the driving force behind the next generation of our autonomous fulfillment solutions, leading the definition and design of cutting-edge machine learning versions for our core algorithms. You will be instrumental in evolving our product suite, ensuring our systems are more intelligent, adaptive, and efficient than ever before.
Responsibilities
- Own the architectural vision for all ML applications within our product suite, translating business needs into robust and scalable ML system designs.
- Define the architecture and design patterns, and build POCs for GreyMatter’s ML algorithms.
- Work with the engineering team on design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring.
- Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges.
- Stay at the forefront of ML research and technology, identifying opportunities to apply new techniques to our products.
Qualifications
Education : M.S / Ph.D in Computer Science, AI / ML, or a related field.Experience : 10+ years of total experience in academia or industry.Deep expertise in machine learning and deep learning.Hands-on experience in building and deploying production-grade ML models.Experience with the full ML pipeline (data collection, model training, MLOps, deployment).Experience with Generative-AI and LLMs.Experience with cloud platforms and their ML services (e.g., Vertex AI).Ability to identify high-impact AI use cases and translate business problems into technical requirements.Experience building and implementing an AI strategy and roadmap for a team / organization.Strong understanding of data architecture and big data technologies (e.g., data lakes, streaming pipelines).Experience with MLOps principles and tools for continuous model delivery.(Nice to Have) Contributions to open-source projects, research publications, or patents in ML / AI.#J-18808-Ljbffr