Staff Machine Learning Engineer

We are looking for a Staff Machine Learning Engineer to analyze existing data sets, design and implement machine learning models, and build knowledge by keeping up with the latest advancements in machine learning and AI. The ideal candidate will have a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field and 3 years of experience in the job offered or in a related occupation.

Requirements

• Building and executing end to end ML systems
• TensorFlow, PyTorch, and scikit learn
• Prediction (regression) and classification algorithms; deep learning, reinforcement learning, and generative AI
• Python or Java
• Pub/Sub, Solace, or Kafka
• Developing ML/AI solutions in GCP, Azure, or AWS
• Docker and Kubernetes
• Developing ETL/ELT pipelines using Kubeflow, Dataflow, or Airflow
• SQL
• Data structures and schemas
• APIs to expose trained machine learning models for consumption
• Building enterprise-grade applications using Generative AI technologies
• Retrieval-Augmented Generation (RAG) for knowledge grounding and fine-tuning pre-trained models on domain-specific datasets
• Designing and implementing agentic systems that orchestrate autonomous workflows and integrate with APIs

Benefits

• Medical, dental, and vision plans
• Paid time-off program
• Paid holidays
• Paid family leave