Jobs at MUTT DATA

Lead technical direction for a platform team building modern backend and data-stack solutions for ML products. Provide technical leadership, evaluate architectures, unblock teams (backend or data stack), use AI tools in workflows, document decisions via ADRs/RFCs, and support modernization with legacy/on-prem constraints.

Design, implement, and maintain scalable backend microservices in Python. Own full service lifecycle, ensure high availability, performance, and security. Collaborate across teams on architecture, CI/CD, cloud deployment, and incident response in a regulated financial context.

Design and build responsive, accessible front-end interfaces for data and ML products. Collaborate with Product, Design, and Back End teams, own UX/UI decisions, integrate with APIs, improve front-end architecture and component libraries, and participate in code reviews and technical decisions.

Lead measurement and impact analysis for AI-powered products across the lifecycle. Define metrics, design A/B tests, build analytics frameworks, uncover product opportunities, present insights to leadership, and collaborate cross-functionally to drive data-informed product decisions.

The role involves developing batch and streaming data pipelines, mentoring teams, defining data quality rules, and enhancing data products using technologies like Databricks and Microsoft Fabric.

Design and implement machine learning models; perform exploratory data analysis; collaborate with stakeholders; deploy and monitor models; mentor junior team members.

Lead a team of data scientists, architect machine learning solutions, conduct research, and communicate insights to stakeholders. Enhance team skills and propose data-driven innovations.

The Data Engineer will design and implement ETL processes, optimize data queries, automate pipelines, and develop scalable data infrastructures.

The Data Developer will implement data pipelines, research new tools, and collaborate with teams for smooth integration of data systems.

The Data Engineer Lead will oversee team collaboration, lead projects, design ETL processes, mentor members, and optimize data infrastructure.

As a Data Engineer Lead, you will develop batch and streaming data pipelines, maintain data contracts, guide teams on data modeling, and mentor engineers.

As a Senior Data Engineer, you will develop batch and streaming data pipelines, maintain data contracts, and guide domain teams on data modeling, while mentoring other engineers.

As a Machine Learning Engineer, you will develop ML models, optimize performance, implement client requirements, and collaborate on technical solutions.

Lead the Machine Learning team, oversee project development, optimize ML systems and data pipelines, mentor team members, and align technical and business goals.

Design and evolve large-scale AWS data platforms for a banking data modernization project. Define architecture standards and patterns, build dbt models and Airflow pipelines on Redshift, implement data testing and observability, participate in design reviews, and collaborate with engineering and business stakeholders to ensure consistent adoption of best practices.

As a Data Engineer Lead, you'll lead data projects, design ETL processes, mentor team members, and collaborate with clients to deliver custom solutions.