Elevate your career as a Hybrid AI and Machine Learning Engineer with Armstrong Collective. This role centers around innovative AI solutions that drive tangible business outcomes.
You will be responsible for building and operating production-grade ML systems, bringing deep insights from your extensive experience. Engage with cross-functional teams to ensure model effectiveness and collaborate on delivering scalable AI solutions across various business challenges.
Key Responsibilities:
• Design scalable ML models tailored to business needs
• Manage complete ML lifecycle from conception to iteration
• Build pricing models that comply with business requirements
• Collaborate on data pipelines ensuring reliable inputs
• Develop experiments to evaluate ML system impacts
Requirements:
• 5+ years' experience in ML engineering
• Proficient in Python and leading ML frameworks
• Experience in cloud deployments (AWS, Azure, GCP)
• Solid grasp of MLOps, CI/CD fo...