Machine Learning Engineer

📋 Description

• • Join PAR Technology Corporation, a recognized leader in restaurant technology for over four decades, and play a pivotal role in shaping the future of personalized customer engagement. As a Machine Learning Engineer on our AI team, you will be instrumental in designing, developing, and scaling cutting-edge Generative AI (GenAI) powered services and robust machine learning infrastructure. Your work will directly impact key product features, including sophisticated campaign recommendations, highly personalized promotions that resonate with individual customers, and advanced customer intelligence insights.
• • This role is perfectly suited for a hands-on professional who thrives in a performance-driven environment and possesses a proven track record of successfully productionizing complex ML systems. You will leverage modern data platforms and tools such as AWS Bedrock, Databricks, LangChain, and LlamaIndex to build and deploy innovative solutions.
• • Your core responsibilities will involve the end-to-end design, development, and deployment of GenAI-powered microservices and sophisticated recommendation engines. This includes working with state-of-the-art Large Language Models (LLMs), advanced embedding models, and implementing Retrieval-Augmented Generation (RAG) techniques to create intelligent and context-aware applications.
• • You will be responsible for constructing and maintaining highly scalable data pipelines, utilizing tools like Databricks, PySpark, and Delta Lake. These pipelines are critical for efficient model training, meticulous feature engineering, and enabling both real-time and batch inference processes, ensuring our ML models are always up-to-date and performant.
• • Developing and maintaining high-performance Machine Learning APIs is a key aspect of this role. You will utilize frameworks such as FastAPI, Flask, or similar to expose ML capabilities to other services and applications, ensuring seamless integration and low latency.
• • A significant part of your work will focus on implementing advanced retrieval pipelines. This involves leveraging vector databases like FAISS, ChromaDB, or Pinecone to facilitate hybrid search functionalities and enhance personalization capabilities, allowing for more nuanced and effective customer interactions.
• • You will foster strong collaborative relationships with product managers, software engineers, and data scientists across the organization. This cross-functional teamwork is essential for seamlessly integrating advanced ML capabilities into our customer-facing applications, internal dashboards, and strategic business tools.
• • A commitment to MLOps best practices is paramount. You will implement and maintain robust processes for model versioning, rigorous evaluation, continuous monitoring, and automated retraining, utilizing tools like MLflow or equivalent platforms to ensure the reliability and longevity of our ML deployments.
• • Designing and maintaining efficient CI/CD workflows for ML pipelines is crucial for agile development and deployment. You will utilize tools such as GitHub Actions, Databricks Repos, or similar to automate the build, test, and deployment processes for our machine learning solutions.
• • You will actively contribute to critical architectural decisions, particularly concerning LLM orchestration strategies, the design of multi-model systems, and the optimization of our ML infrastructure on the AWS cloud platform. Your insights will help shape the technical direction of our AI initiatives.
• • Effective communication is key. You will be expected to clearly articulate complex technical solutions, provide data-driven insights, and offer actionable recommendations to a diverse range of cross-functional stakeholders, ensuring alignment and driving informed decision-making.
• • This role offers a unique opportunity to work with a leading company in the restaurant technology space, contributing to products that enhance guest experiences for thousands of restaurants globally. You will be at the forefront of applying AI and GenAI to solve real-world business problems and drive significant value.