TensorOps - Mid/Senior AI Engineer

• Take ownership of key components within ML and GenAI projects, with support from senior team members when needed • Contribute to architectural and technical decisions in a collaborative environment • Build scalable ML systems that move from experimentation to real-world application • Work with international clients to understand requirements and implement thoughtful technical solutions • Support and mentor junior team members as you grow in your own leadership journey • You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning. • Technical Expertise • Technical Expertise • We’re looking for engineers with strong hands-on experience across: • Python: Writing clean, efficient, well-documented, production-quality code • Python • Machine Learning Frameworks: Designing, training, optimizing, and deploying models independently (e.g., PyTorch, TensorFlow, Scikit-learn) • Machine Learning Frameworks • GenAI & LLM Systems: Building RAG pipelines, chatbot architectures, and applications using tools like LangChain • GenAI & LLM Systems • MLOps & Production ML: Model versioning, monitoring, CI/CD for ML workflows • MLOps & Production ML • Cloud Deployments: Deploying and scaling ML systems on AWS, GCP, or Azure • Cloud Deployments • Performance Optimization & Debugging: Diagnosing complex issues and improving system reliability and efficiency • Performance Optimization & Debugging