Senior/Lead AI Software Engineer, Zalo

• Architect & Design: Design and develop highly scalable, resilient, and performant backend services and APIs to serve machine learning models;

• Build & Implement: Write clean, maintainable, and well-tested code in Java, C/C++, Python, or other relevant languages to bring AI-powered products to life;

• Productionize AI/ML: Collaborate closely with Data Scientists and ML Engineers to productionize AI models. This includes building inference services, data pipelines, and the infrastructure for model training, deployment, and monitoring (MLOps);

• Lead & Mentor: Lead technical projects from conception to completion. Mentor junior engineers, conduct code reviews, and champion best practices in software engineering across the team;

• CI/CD & Automation: Own and improve our continuous integration and deployment pipelines to ensure rapid, reliable delivery of new features and models;

• Performance Optimization: Identify and resolve performance bottlenecks in our systems, ensuring low-latency and high-throughput for our AI services;

• Cross-Functional Collaboration: Work in an agile environment with product managers, designers, and other engineering teams to define requirements and deliver high-impact solutions.

👾 What you will need

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience;

• At least 3+ years of professional experience in software development, with a proven track record of shipping complex, scalable backend systems;

• Expert-level proficiency in at least one modern programming language such as Python, Go, Java, or C++;

• Strong understanding of software architecture, data structures, and algorithms;

• Experience designing, building, and maintaining RESTful APIs and/or gRPC, WebSocket services;

• Solid understanding of the machine learning lifecycle, from data ingestion and training to deployment and monitoring in a production environment;

• Experienced in working with SQL databases (MySQL, PostgreSQL, …) and NoSQL databases (Redis, MongoDB, ...);

• Good at logical thinking and problem-solving skills;

• Be willing to learn new technologies and programming language;

Nice to have:

• Experience in designing, building Realtime API using WebRTC and/or WebSocket;

• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes;

• Proficiency with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, TensorRT, Triton Inference Server, OpenVINO, Mojo, etc;

• Demonstrated experience leading projects and mentoring other engineers;

• Experience in a specific AI domain such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems