Jobs at Neuron7.ai

As a Staff Data Scientist, lead the design and deployment of NLP solutions, mentor team members, and collaborate on AI/ML products to analyze unstructured data.

The Solution Architect at Neuron7.ai will design AI-powered enterprise solutions, optimize business processes, engage customers, and lead architectural discussions to transform operations through intelligent automation.

The Senior AI Solutions Engineer will manage customer onboarding, configure AI tools, write Python code, develop streaming pipelines, and create custom demos to optimize LogIQ's performance for enterprise clients.

The role involves managing customer onboarding, building demos, and configuring AI solutions as part of the deployment process. The engineer will develop streaming log ingestion, enhance the RCA agent, and contribute to tool and log parser development, ensuring successful AI operationalization for enterprise customers.

The Finance & Operations Associate will handle financial planning, accounting operations, reporting, and compliance, while managing day-to-day finance activities and mentoring junior team members.

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.

Lead the design and deployment of NLP-driven solutions for analyzing unstructured data at scale, mentor junior team members, and collaborate with cross-functional teams.

The role involves guiding the implementation and optimization of AI solutions for enterprise clients, focusing on customer onboarding, technical deployments, and service transformation initiatives.

The role involves driving customer onboarding, AI solution deployment, CRM integration, and managing stakeholder relationships to optimize service outcomes.

The Product Management Apprentice supports product teams in building AI-powered products by assisting in documenting requirements, analyzing use cases, and collaborating across teams, offering hands-on training for early-career talent.

Lead and manage CI/CD pipelines, collaborate with teams on deployment processes, monitor system performance, automate infrastructure, and mentor junior engineers.

The Product Manager will lead the strategy and execution of agent product experiences, collaborating with teams to enhance AI diagnostics and optimize service workflows.

The Release Manager will oversee the complete release lifecycle, emphasizing QA processes, CI/CD pipeline optimization, and effective communication with stakeholders to ensure high-quality software releases.

As an Implementation Engineer, you'll develop Python-based backend solutions, integrate ML pipelines, and ensure system reliability while collaborating closely with various teams to implement customer-specific workflows and solutions.

The Senior Implementation Engineer builds and deploys Python-based backend solutions, focusing on customer-specific integrations and AI/ML workflows, while ensuring deployment reliability and collaborating cross-functionally.