Remote Lead ML Engineer: Generative AI & MLOps Leader

OpenKrill; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote-first culture

Cloud certifications covered

English lessons

Birthday off + extra vacation week

Referral bonuses

Benefits marketplace credits

Annual trip

Monthly childcare reimbursement

Job summary

Mutt Data, a remote startup, seeks a Machine Learning / AI Engineer Lead to drive end-to-end AI/ML projects for clients, building scalable pipelines and production-grade solutions.

You will translate business problems into robust tech, lead multi-disciplinary teams, and advance Generative AI applications with a strong emphasis on MLOps and distributed computing.

Join a remote-first culture with cloud certifications and opportunities across diverse industries.

Qualifications

• 4+ years in Generative/Agentic AI or ML in production.
• 3+ years in customer-facing consulting or solutions architect roles.
• Strong communication skills for client interactions.
• Expertise in MLOps lifecycle management and monitoring.

Responsibilities

• Lead end-to-end AI/ML projects with clients translating business problems into robust technical solutions.
• Communicate findings and proposals clearly to technical and non-technical audiences.
• Design and maintain production-grade AI/ML pipelines with CI/CD and MLOps practices.
• Architect end-to-end AI/ML systems including Generative AI solutions.
• Manage production infrastructure with Docker and data pipelines.
• Leverage distributed computing with Apache Spark for scalable processing.
• Support growth and knowledge transfer for the AI practice.
• Document engagements and trainings with partner platforms.

Skills

Generative AI

Agentic AI

MLOps

Python

Docker

Data pipelines

Apache Spark

Client communication

Continuous learning

Tools

Docker

Databricks

Apache Spark

Pipeline orchestration

Job description

Mutt Data, a remote startup, seeks a Machine Learning / AI Engineer Lead to drive end-to-end AI/ML projects for clients, building scalable pipelines and production-grade solutions.

You will translate business problems into robust tech, lead multi-disciplinary teams, and advance Generative AI applications with a strong emphasis on MLOps and distributed computing.

Join a remote-first culture with cloud certifications and opportunities across diverse industries.