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- Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers.
As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, and speed optimization both during the experimentation phase and in the production environment. This is a foundational role that entails high ownership, where you will collaborate closely with the OpenAI, Anthropic, and AWS teams to construct top-tier ML infrastructure.
Working in tandem with ML researchers, backend engineers, and product teams, you will ensure the resilience, security, and cost-effectiveness of Enterpret's AI systems as the company experiences exponential growth. Key success factors include enhancing the speed of experimentation, reducing time to productionization, and elevating the quality of models. Reporting directly to the CTO, you will be responsible for several critical tasks.
You will design and enhance Enterpret's ML platform utilizing AWS, Terraform, OpenAI, and Anthropic for training, serving, and retraining encoders and LLM models. Additionally, you will develop CI/CD pipelines tailored for ML, deploy and manage model serving systems for real-time inference and batch pipelines, establish observability for model performance and data drift, lead incident response and postmortems for ML systems, optimize cloud usage for ML workflows, implement governance and security measures, work on productionizing AI models, evaluate tools for model registry, feature stores, and orchestration, champion MLOps best practices, and mentor engineers.
The ideal candidate for this role should possess a minimum of 6 years" experience in MLOps and ML infrastructure, with expertise in AWS, infrastructure-as-code, container orchestration, strong Python skills, hands-on experience with CI/CD systems, proficiency in monitoring and maintaining production ML systems, cloud cost optimization knowledge, familiarity with model serving stacks and experimentation tools, and a track record of mentoring and taking ownership of systems in production. Additionally, a passion for automation, proficiency with AI coding agents, and exposure to GenAI workflows and responsible AI practices are desirable.
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Enterpret offers a compelling opportunity to work at the heart of ML, take early ownership of impactful projects, collaborate with a talented team, operate in a focused and fast-paced environment, and enjoy competitive compensation, meaningful equity, comprehensive healthcare benefits, generous leave policies, and a team-centric culture built on trust and ownership.
At Enterpret, we prioritize a culture of ownership, teamwork, personal care, constructive feedback, humility, continuous learning, and improvement. We are committed to providing equal opportunities for all individuals.,
Skills
PythonCloudJenkinsTerraformVector DBsFeature StoresOpenAICloud Usage OptimizationLangsmithRAGAI Coding AgentsResponsible AI PracticesLangChainSecurityCICD PipelinesPythonRustGovernanceAutomationModel RegistryBashMentoringObservabilityOrchestrationML InfrastructureGoMLOpsArgoCDGenAI WorkflowsGitHub ActionsAnthropicAWSMLflowReinforcement LearningModel VersioningIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
10 Oct 25, 05:52 PM IST
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