G

GoML Tech Stack

Gen AI systems design and deployment for startups and enterprises

Technology, Information and Internet New York 51–200 employees Founded 2023 Privately Held

GoML builds production-grade generative AI systems, moving fast (POC delivery in 2 weeks) on a stack anchored in AWS, Python, and emerging frameworks like RAG and transformers. The hiring mix is heavily weighted toward senior engineering (10 senior + lead roles out of 17 total), suggesting they're scaling delivery capacity and architectural depth rather than early-stage exploration — consistent with 100+ deployments already shipped and a formal AWS Gen AI Competency Partnership.

Tech Stack 60 technologies

Core StackAWS Python FastAPI Django Flask PostgreSQL MySQL MongoDB Redis Docker Linux RAG Snowflake Databricks React Express.js Node.js JavaScript Redux GraphQL setuptools Git Azure Bedrock Azure OpenAI HTML5 CSS MobX REST API JWT+30 more

AdoptingRAG transformers

What GoML Is Building

◆Challenges

Ai adoption
Turning genai breakthroughs into real business outcomes
Building reliable ml pipelines
Bridging research and production
Modernizing data stacks
Growth in start-up & smb markets
Intuitive and performant user interfaces
User satisfaction
Flawless secure high-performance systems
Scaling generative ai to enterprise

▲Active Projects

Design and develop generative ai solutions
Productionize ml and genai research for enterprise use cases
Build data pipelines for training and inference
Fine-tune pre-trained llms for domain-specific use cases
Azure-based data pipelines
Legacy modernization to cloud-native ai solutions
Genai solutions with rag and agent frameworks
Scalable automation frameworks for web, api, data, and backend systems
Ai-assisted testing approaches
Automation strategy across multiple engineering teams

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

10

Data

3

Sales

2

Finance

1

HR

1

Seniority

Senior

10

Mid

4

Lead

2

Intern

1

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About GoML

GoML is a generative AI systems integrator founded in 2023, based in New York with 51–200 employees. The company designs, builds, and manages production-grade AI applications for startups and enterprises, positioning itself around measurable ROI and responsible scaling. Core capabilities span LLM fine-tuning, RAG systems, agent frameworks, and ML pipeline architecture, with active work on legacy modernization to cloud-native AI, Azure-based data infrastructure, and domain-specific model adaptation. Sales and delivery are structured around a 2-week POC model.

HeadquartersNew York

Company Size51–200 employees

Founded2023

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does GoML use?

AWS, Azure, Python, FastAPI, Django, PostgreSQL, MongoDB, Redis, Docker, Snowflake, Databricks, Bedrock, Azure OpenAI, React, Node.js, and GraphQL. Actively adopting RAG and transformer libraries.

What is GoML working on?

Productionizing ML and gen AI for enterprise, building data pipelines for training and inference, fine-tuning LLMs for domain use cases, RAG and agent frameworks, Azure cloud-native migration, and AI-assisted testing automation.

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