Description
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 for machine...
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 for machine...
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Submit your application today and take the next step in your career with Rocky Mountaineer.
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