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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer 2 - **Company:** Intuit Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $127,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Automation of Tests, Unit Testing, Software Bug Management, Cloud Computing, Computer Programming, Information Engineering, Software Design Patterns, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Commercial Software, Scrum Methodology, Software Maintenance, Raw Data, Tensorflow, Software Engineering, Systems Architecture, Data Processing, Large Language Models, Generative AI, Pandas, Kubernetes, Information Technology, Production Code, Machine Learning Operations, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bdae1ca1b2eb3099 ## About the Role Education Requirements: MS, or PhD in Computer Science, Machine Learning, or Data Engineering Position requires: Skills: 4+ years of industry experience (Example) * Object oriented programming - algorithmic problem solving for building modular and maintainable software systems * Systems architecture - Design patterns to design scalable modular systems * Cloud infrastructure - Experience working with cloud platforms for development like AWS (s3/ Sagemaker/ EC2 instance) * Container orchestration platforms - Experience with containerization and container orchestration platforms for deployment, scaling and management of applications and machine learning (ML) workflows (ex: Kubernetes) * Data engineering - Experience in processing, transforming and managing raw data to support analytics and machine learning workflows * Canonical knowledge of ML basics - Strong understanding of ML concepts and lifecycle processes for ML-based solutions (training, evaluation, validation, etc.) * Applied ML - Practical experience in building end-to-end M/ Deep leaning application (data labelling, data processing, training, testing and deploying) * LLMs & GenAI applications - Experience in developing application backed by LLMs (GenAI) like RAG/ agentic workflows * Programming and data tools (ex: scientific libraries) - Experience using Python (Pandas, Numpy, etc.) and related technologies for data processing, visualization and ML frameworks Footer ## Description Apply software development practices to design, implement, and support individual software projects. Work on problems of moderate scope and complexity where analysis of situations or data requires a review of multiple factors of the overall product and service. Review product requirements and architecture to understand and implement software projects. Develop highly scalable, secure and efficient software that support critical functions of Intuit's engineering operations and/or Intuit's leading commercial software products. Working with Senior and Staff Engineers, collect and analyze requirements from Product Managers. In an Agile/SCRUM environment, develop, define and write code to implement algorithms to develop software application features in compliance with business requirements. Write unit test case and test code for validity. Perform bug fixes by analyzing discrepancies that are found by the Quality Assurance team. Deploy software code for automated testing. Develop code for review/correction by senior level engineers, and produce production-ready code. Design, code, test, and maintain assigned software deliverables, and represent the customer perspective during software development activities. Contribute to the improvement of product development methods and tools. Responsibilities Use GenAI (LLMs/Agents) to develop rapid prototypes and production-ready solutions. Architect data pipelines (ingestion, transformation, persistence) and workflow pipelines (Kubeflow) to develop scalable solutions. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Vectorize all the things! 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