Lead AI Engineer
Job Summary
8 years of experience in software development and machine learning with expertise in writing and reviewing production-grade Python code and at least 3years in AI engineering.
Strong knowledge of ML frameworks and libraries (e.g. TensorFlow PyTorch) with hands-on experience implementing ML algorithms at scale.
Extensive hands-on experience in building and integrating large language models (LLMs) to significantly enhance the capabilities and effectiveness of AI systems.
Demonstrated expertise in designing and operating distributed high-throughput and low-latency system architectures.
Proficiency in software development using containerization technologies (e.g. Kubernetes Docker) and frameworks/tools such as FastAPI and Uvicorn.
Strong knowledge of ML frameworks and libraries (e.g. TensorFlow PyTorch) with hands-on experience implementing ML algorithms at scale.
Extensive hands-on experience in building and integrating large language models (LLMs) to significantly enhance the capabilities and effectiveness of AI systems.
Demonstrated expertise in designing and operating distributed high-throughput and low-latency system architectures.
Proficiency in software development using containerization technologies (e.g. Kubernetes Docker) and frameworks/tools such as FastAPI and Uvicorn.