Principal MLOPs Engineer

Proven experience in designing and implementing scalable ML inference systems Hands-on experience with TensorFlow, Keras, or Spark MLlib Solid foundation in machine learning algorithms, NLP, and statistical modeling Strong grasp of algorithms, distributed systems, data structures, and database management Experience working effectively in a remote setting with strong communication skills Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce) Expertise in GCP and Vertex AI Proven expertise in model optimization techniques (distillation, quantization, hardware acceleration) Proficiency and recent experience in Java In-depth understanding of LLM architectures Bachelor's degree in Computer Science with 10+ years of experience or Master's degree with 8+ years of experience

Architect and optimize data infrastructure for ML/DL models Collaborate with cross-functional teams Own end-to-end development of high-performance inference systems Provide technical leadership and mentorship