Arcee AI
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Artificial Intelligence • Machine Learning • Software
The Machine Learning Infrastructure Engineer will design and maintain scalable infrastructure for machine learning models, working alongside data scientists and engineers. Responsibilities include implementing infrastructure-as-code, deploying models efficiently, optimizing performance, and ensuring data security and integrity.
Artificial Intelligence • Machine Learning • Software
The Machine Learning Engineer/Applied Researcher will train and fine-tune Large Language Models, implement supervised fine-tuning techniques, collaborate with teams on experiments, optimize training pipelines, and document findings. The role requires expertise in modern ML practices and effective communication skills to convey technical concepts to various stakeholders.
Artificial Intelligence • Machine Learning • Software
The Platform Infrastructure Engineer will build, scale, and maintain multi-tenant, multi-cluster infrastructure on AWS EKS, automate infrastructure provisioning, and streamline deployment pipelines. They will leverage tools like ArgoCD and Terraform, manage GitOps workflows, and monitor GPUs, collaborating closely with developers and DevOps teams to enhance system reliability and performance.
Artificial Intelligence • Machine Learning • Software
As the Director of Product at Arcee.ai, you will lead a team of engineers and researchers to develop AI-powered products. Responsibilities include product leadership, team management, project management, collaboration with cross-functional teams, and continuous process improvement. You'll also ensure the successful delivery of high-quality projects aligned with company goals.
Artificial Intelligence • Machine Learning • Software
The Enterprise Account Executive will be responsible for owner deal cycles from identifying leads to closing deals in the generative AI domain, driving growth within enterprise verticals, collaborating with customers and internal teams, and contributing to the development of sales strategies and processes.
Artificial Intelligence • Machine Learning • Software
The AI/ML Engineer will design, develop, and deploy AI/ML models and systems, integrate them with products, and maintain AI/ML infrastructure while driving innovation through R&D initiatives.
Artificial Intelligence • Machine Learning • Software
The AI Product Engineer will develop and enhance Arcee.ai's GenAI product by implementing AI models, collaborating with teams, conducting experiments, and maintaining models in production. Responsibilities include data preprocessing, optimizing model performance, and translating customer requirements into technical specifications.
Artificial Intelligence • Machine Learning • Software
The Solution Architect will design, develop, and implement AI-powered solutions, collaborating with clients and cross-functional teams. Responsibilities include creating solution architectures, providing technical leadership, ensuring successful deployments, and innovating on solution designs by applying the latest technologies.
Artificial Intelligence • Machine Learning • Software
As a Project Manager at Arcee.ai, you will develop and execute project plans, lead cross-functional teams, manage risks, engage stakeholders, ensure quality deliverables, and oversee project budgets to align with business goals. Your role requires strong leadership, communication, and problem-solving skills, along with a focus on continuous improvement in project management processes.
Artificial Intelligence • Machine Learning • Software
As a Platform Engineer, you will develop and maintain backend services and SDKs for the Arcee platform, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams, implement features using Python and FastAPI, and maintain thorough documentation. Stay updated on industry trends to innovate and integrate with various teams effectively.
Artificial Intelligence • Machine Learning • Software
The Growth Marketer is responsible for implementing growth marketing strategies, leveraging marketing analytics, executing growth hacks, and driving lead generation initiatives to achieve pipeline and revenue goals. Daily activities include strategic planning and data analysis to optimize campaigns and enhance customer acquisition.
Artificial Intelligence • Machine Learning • Software
The Fullstack Product Engineer will design, develop, and maintain products on a Kubernetes platform, focusing on backend services primarily in Python and Node.js. The role includes implementing features driven by language models, collaborating with frontend engineers on user experiences, and ensuring the applications are monitored and maintainable.