MLOps Engineering Lead (AI)

Location: Remote in Europe or Israel

Company

hirify.global is an AI company developing NEXUS, a large tabular model for enterprise decision-making.

What you will do

• Lead and mentor an MLOps engineering team and drive the MLOps roadmap.
• Define standards and architecture for ML infrastructure, deployment, operations, and tooling.
• Build scalable machine learning pipelines, CI/CD workflows, orchestration frameworks, and model-serving infrastructure.
• Design low-latency, high-throughput inference architecture using serving platforms such as Triton, TorchServe, TensorFlow Serving, and KServe.
• Develop feature stores, data pipelines, scalable storage, and observability strategies for model performance, drift, and system reliability.
• Partner with research teams to move experimentation into production.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 7+ years of MLOps experience, including 3+ years in a technical leadership role.
• Strong Python software engineering skills and experience with Bash and/or Go.
• Experience building MLOps infrastructure from the ground up and leading high-performing MLOps or infrastructure teams.
• Deep experience with ML platforms and frameworks, model serving, data pipelines, Kubernetes on AWS, GCP, or Azure, and infrastructure as code with Terraform, Helm, or GitOps.
• Strong communication skills and the ability to translate between research and production contexts.

Nice to have

• Experience with Kubeflow, Airflow, Argo Workflows, FastAPI, Databricks, or Snowflake.
• Experience serving and optimizing LLMs or foundation models.
• Exposure to SRE practices, cloud security certifications, or scaling ML infrastructure in AI startups.

Culture & Benefits

• Competitive compensation with salary and equity.
• Comprehensive health coverage for employees and dependents.
• Paid parental leave for all new parents, including adoptive and surrogate journeys.
• Relocation support for moves to office locations.
• Mission-driven, low-ego culture focused on diverse perspectives, ownership, and bias toward action.