MLOps Lead: Build Scalable, Low-Latency ML Systems

Fundamental; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation with salary and equity

Comprehensive health coverage

Paid parental leave

Relocation support

Mission-driven, low-ego culture

Job summary

Fundamental, an innovative AI company based in the United States, is seeking an experienced MLOps Lead to guide their team in building cutting-edge machine learning infrastructures. The ideal candidate will have strong expertise in Python, MLOps platforms, and a proven ability in leadership roles.

Join us to tackle unprecedented technical challenges and contribute to shaping the future of enterprise decision-making with your expertise in MLOps and model serving frameworks.

Qualifications

• 7+ years in MLOps with 3+ years in technical leadership role.
• Proven track record building and leading high-performing teams.
• Experience designing MLOps infrastructure from scratch.

Responsibilities

• Lead and mentor a team of MLOps engineers.
• Define and drive the MLOps roadmap aligning with objectives.
• Oversee scalable, automated machine learning pipelines.

Skills

Strong software engineering skills in Python

Experience with MLOps platforms

Deep experience with model serving frameworks

Good experience with Kubernetes

Excellent communication skills

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

MLflow

Kubernetes

Prometheus

Terraform

Job description

Fundamental, an innovative AI company based in the United States, is seeking an experienced MLOps Lead to guide their team in building cutting-edge machine learning infrastructures. The ideal candidate will have strong expertise in Python, MLOps platforms, and a proven ability in leadership roles.

Join us to tackle unprecedented technical challenges and contribute to shaping the future of enterprise decision-making with your expertise in MLOps and model serving frameworks.