"ml ai solutions" Jobs
65 open tech roles matching “ml ai solutions”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, GCP. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 65 results
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.
Lead the development of LLM-powered products in a fast-moving startup focused on AI-driven marketing solutions.
Join Together AI as a Solutions Architect to drive customer success through innovative Generative AI applications.
Lead the vision and execution of LLM-powered products at Bluefish AI, shaping the future of AI-driven marketing technologies.
Join Perplexity AI as an AI Infrastructure Engineer to build and optimize large-scale AI training and inference clusters.
Join Fireworks AI as an AI Field Engineer to build production systems for generative AI with large organizations across EMEA.
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers.
Join Databricks as a Solutions Architect to drive product adoption and influence technical strategy in a customer-facing role.
Join CuspAI as an intern to develop machine learning force fields for advanced materials simulations.
Join DeepL as a Senior Research Scientist to innovate in reinforcement learning and shape the future of AI technology.
Join Vertice as an AI/ML Engineer to design and implement AI solutions that transform enterprise procurement processes.
Lead fine-tuning and development of multimodal models for document translation at DeepL.
Join ARQ as a Senior Data Scientist to develop machine learning models that tackle financial crime and risk challenges.
Join Braze as a Data Scientist to design and build machine learning solutions for personalized customer experiences.
Lead a distributed engineering team focused on payments, fraud prevention, and user conversion in a hybrid work environment.
Lead research on fine-tuning and steerability of LLM-based translation models in a collaborative AI-focused environment.