Senior ML & AI Engineer - Remote, AI/ML Platform & MLOps

Mutt Data; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote-first culture

In-Company English Lessons

Birthday off + extra vacation week

Referral bonuses

Maslow benefits credits

Annual Mutters' Trip

Monthly childcare reimbursement

Certification coverage

Job summary

Mutt Data is a dynamic startup delivering cutting-edge Big Data and AI/ML solutions. We seek a senior Data Engineer to design and deploy production-grade AI/ML pipelines, collaborate directly with clients, and drive end-to-end implementations in a remote-first environment.

You will architect Generative and Agentic AI systems, manage cloud-based data infrastructure, and contribute to scalable MLOps practices while communicating complex results to varied stakeholders.

Qualifications

• Senior-level data engineering expertise with focus on Generative/Agentic AI pipelines.
• Experience delivering production ML/AI solutions with CI/CD and MLOps practices.
• Strong client-facing consulting or solutions architecture background.

Responsibilities

• Serve as primary technical consultant, leading end-to-end AI/ML project implementations with clients.
• Communicate complex findings clearly to both technical and non-technical audiences.
• Design, build, and maintain production-grade AI/ML pipelines with CI/CD and MLOps.
• Implement Generative AI and Agentic AI apps, including multi-agent orchestration and RAG systems.
• Architect end-to-end AI/ML systems aligned to customer needs, leveraging cloud and data lakehouse tech.
• Manage production deployment infrastructure with Docker and orchestration tools.

Skills

Python

MLOps

CI/CD

Distributed computing

Generative AI

Agentic AI

RAG

Cloud platforms

Tools

Docker

Databricks

Apache Spark

DBT

AWS

GCP

Azure

Job description

Mutt Data is a dynamic startup delivering cutting-edge Big Data and AI/ML solutions. We seek a senior Data Engineer to design and deploy production-grade AI/ML pipelines, collaborate directly with clients, and drive end-to-end implementations in a remote-first environment.

You will architect Generative and Agentic AI systems, manage cloud-based data infrastructure, and contribute to scalable MLOps practices while communicating complex results to varied stakeholders.