AI & ML Engineer - Hybrid Role

Join Armstrong Collective as an AI and Machine Learning Engineer in a hybrid setup. This role focuses on implementing effective production-grade ML systems to meet business objectives.

As a crucial member of the team, you'll engage in designing, building, and operating machine learning systems. Collaborate closely with data and software engineers to translate complex problems into scalable solutions. Your technical judgment will ensure high-quality operations while managing deployments and monitoring performance.

Key Responsibilities: • Develop and deploy scalable AI systems across various domains • Own the full lifecycle from data exploration to monitoring • Create revenue models balancing business constraints • Partner with data engineers for robust pipeline design • Conduct experiments to track real-world ML performance

Requirements: • 5+ years in ML engineering or related field • Expert in Python and modern ML libraries • Experience deploying models in AWS, Azure, or GCP • Understanding of MLOps and model monitoring practices • Familiarity with generative AI frameworks is a plus

Leverage your experience in AI to create impactful solutions at Armstrong Collective. #J-18808-Ljbffr