Senior AI

Job Title: Senior AI & Machine Learning Engineer Relevant Experience: 5 years PLUS Work Location: BGC Shift: Day shift Work Set-up: ON-SITE Salary range: UP TO P170K About the Team The Consumer Engineering (CE) team is responsible for building all consumer-facing experiences. We are expanding our capabilities to power the next generation of AI-driven consumer experiences that surprise and delight. We plan to achieve this by building innovative new platforms, frameworks, and solutions designed to make healthcare easy and personalized. As a Senior Software Engineer on this team, you will be a key technical contributor, designing and building the core AI/ML systems that drive these experiences. Key Challenges Simplifying Healthcare Complexity: Apply your engineering skills and AI/ML techniques to build systems that navigate the intricate healthcare landscape, making it easier for millions of users to access care. Building Scalable AI Systems: Design, implement, and deploy robust, production-grade AI solutions capable of handling large volumes of data and user interactions within our consumer-facing applications. Driving Rapid Innovation: Implement and experiment with new AI advancements (like LLMs) to solve real-world healthcare problems effectively and ethically, contributing practical solutions. Cross-Functional Integration: Build and integrate AI capabilities seamlessly into broader consumer experiences, collaborating effectively with product, design, and fellow engineers to accelerate innovation and improve engineering efficiency across the Consumer Engineering team. Provide technical guidance and mentorship to junior engineers through code reviews, design discussions, and knowledge sharing. Lead by example in technical best practices. Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions. Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges. Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments. Contribute to a team culture focused on technical excellence, continuous learning, and curiosity. WHAT WE'RE LOOKING FOR: Core Experience: 5+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems. AI/ML Expertise: Deep understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly. Strong Engineering Fundamentals: Proven ability in software design, data structures, algorithms, and writing clean, testable, and maintainable code. Broad ML Domain Knowledge: Practical experience or strong knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection. LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring). Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity. Ownership & Drive: You are self-driven, take immense pride in your technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions. EDUCATION: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. #J-18808-Ljbffr