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Senior Software Engineer- Machine Learning and AI Integration - Hartford Connecticut
Company: Confluent Location: Hartford, Connecticut
Posted On: 04/26/2024
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day -- we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: Confluent is seeking an innovative and visionary Senior / Staff Software Engineer to help lead the design and development of a cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) foundation seamlessly integrated with Confluent Cloud data processing infrastructure, including Flink SQL and Table API. In this role, you will be instrumental in shaping the architecture and strategy for building transparent ML and AI capabilities that empower our customers to unlock the full potential of their data. You will be responsible for both building the infrastructure as well as designing and implementing different categories of ML and AI algorithms, including classification, inference, clustering, regression, feature engineering, recommendation, GenAI, and others. The infrastructure you build will support both externally trained models and the ability to train models natively within Confluent Cloud, including incremental training as data streams in real-time. What You Will Do: -
Technical Leadership: Act as a technical leader, driving the architecture, design, and implementation of ML and AI functionality for Confluent Cloud. Translate complex requirements into pragmatic and scalable technical solutions -
Solution Design: Define and deliver customer-focused ML and AI solutions that seamlessly integrate with Confluent Cloud data processing, enabling the extraction of valuable insights from streaming data. Collaborate closely with cross-functional teams to ensure holistic integration -
Transparent Integration: Architect ML and AI capabilities that can be seamlessly integrated with Flink SQL, Table API, and other components of Confluent Cloud. Ensure that ML and AI functionality is accessible and usable by non-experts -
Diverse Functionality: Design and implement feature classification, inference, clustering, regression, feature engineering, recommendation systems, and the GenAI platform, addressing a wide range of customer needs -
Model Training: Create infrastructure that supports both externally trained models and native model training within Confluent Cloud. Enable incremental model training as data is streamed, ensuring the models remain up-to-date -
Influence Strategy: Provide technical expertise and insights to shape the ML and AI strategy for Confluent Cloud. Drive innovation by identifying opportunities to enhance customer value and platform capabilities -
Mentorship: Assist in the development and growth of technical talent within the organization. Mentor junior engineers, fostering their technical skills and leadership potential -
Collaboration: Foster collaboration across Confluent, sharing your deep ML and AI knowledge to enhance productivity and effectiveness across teams. -
Quality Assurance: Ensure the quality of the architecture and design of ML and AI capabilities, adhering to best practices, scalability, and performance -
Problem Solving: Decompose complex ML and AI challenges into actionable and effective solutions, considering real-time data streaming requirements. -
Industry Engagement: Represent Confluent Engineering in external ML and AI communities, conferences, and industry events, building a strong network and contributing to Confluent's industry presence What You Will Bring: |
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