Lead Machine Learning Engineer for Advanced Model Development

Drive innovation as a Machine Learning Engineer, creating robust solutions from data ingestion to deployment. Focus on building, operationalizing, and monitoring models using modern ML frameworks in a dynamic production environment. In this pivotal role, you will harness 5+ years of expertise to design and implement end-to-end machine learning solutions. Collaborate heavily across functions while ensuring quality through rigorous evaluation practices. Your skills in Python, cloud platforms, and MLOps will be paramount in navigating complex, real-world datasets. Key Responsibilities: • Build and own ML solutions from ingestion to monitoring • Deploy and maintain ML models in production environments • Write modular, production-ready Python code • Perform model evaluation and risk management • Collaborate cross-functionally with engineers and stakeholders Requirements: • 5+ years designing end-to-end ML solutions • Strong command of ML algorithms and libraries • Expertise in Python and version control (Git) • Hands-on experience with cloud platforms • Excellent problem-solving and communication skills Elevate your career by developing innovative ML solutions and collaborating effectively across teams. #J-18808-Ljbffr