Senior Software Engineer

We're working with a leading digital media company that publishes engaging content across a diverse portfolio of brands, reaching millions of consumers monthly through its innovative platforms.

The Role

• Design and build scalable distributed systems and backend platforms compatible with AI/ML infrastructure.
• Manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation, and deployment of ranking, retrieval, and recommendation use cases.
• Develop and maintain data pipelines for feature generation, model training, and analytics workflows, owning vector generation, storage, and retrieval.
• Implement model serving solutions using KServe and build APIs with FastAPI for low-latency inference.
• Collaborate with data scientists, product managers, and platform teams to define and deliver ML-driven features and troubleshoot production issues.
• Contribute to engineering standards, code quality, and best practices across Python-based services and ML systems.

What You'll Need

• 6+ years of experience building scalable backend systems and services.
• 5+ years of experience developing software using object-oriented languages, with strong proficiency in Python, Node.js, and TypeScript.
• Hands-on experience with Elasticsearch for search, indexing, and relevance tuning.
• Experience with event-driven systems using Apache Kafka for real-time data pipelines and processing.
• Familiarity with cloud platforms like AWS and Google Cloud Platform, along with containerization using Docker and orchestration with Kubernetes.
• Strong understanding of machine learning concepts, including supervised learning, deep learning, and NLP, with practical application in personalization.

What's On Offer

• Opportunity to work on widely used components that help users find ways to consume content on various sites.
• Engaging work with technologies such as Vertex AI pipeline, KServe, Kafka, Elasticsearch, and Vector Databases.
• Exposure to building capabilities for recommending related articles and leveraging AI/ML power.
• A collaborative environment working with product owners, data science, and platform teams.

Apply via Haystack today!