AI Engineer — End-to-End ML Systems

Role Overview We are seeking a highly motivated AI Engineer with strong fundamentals in machine learning and system design. This role is ideal for someone who enjoys building end-to-end AI services , understands the mathematics behind models, and thinks deeply about performance, scalability, and efficiency—beyond just applying pre-built tools. You will be part of the initial AI core team of engineers driving the AI initiatives at Zinier. Key Responsibilities Design, build, and maintain end-to-end AI/ML services and components . Develop, train, fine-tune, and evaluate AI/ML models for real-world use cases. Contribute to the development of production-grade AI systems , including data pipelines, APIs, and deployment workflows. Work closely with senior engineers and AI leaders to implement robust and scalable solutions. Analyze model behavior and performance from a low-level, fundamentals-driven perspective . Participate in architecture discussions, code reviews, and continuous improvement initiatives. Debug, optimize, and enhance AI models and systems for accuracy, efficiency, and reliability. Required Qualifications 3–5 years of experience in software engineering with at least 2 years working on AI/ML-based systems. Hands‑on experience building or contributing to end-to-end services or AI-driven products . Strong understanding of machine learning fundamentals , including mathematical and statistical concepts. Ability to reason about systems from first principles (data, algorithms, compute, memory) rather than only application-level abstractions. Proficiency in at least one AI/ML framework (e.g., PyTorch, TensorFlow). Solid programming skills in Python and/or other relevant languages. Nice to Have Experience deploying models to production environments. Familiarity with distributed systems, cloud platforms, or MLOps tools. Exposure to optimization techniques, model efficiency, or performance tuning. #J-18808-Ljbffr Zinier