Lead AI Engineer (ML Ops)

TL;DR

Lead AI Engineer (ML Ops): Spearheading the end-to-end productionalization of AI initiatives across hirify.global, focusing on designing, deploying, and scaling enterprise-grade AI solutions. Focus on establishing resilient MLOps and LLMOps pipelines, architecting scalable AI infrastructure, and driving the integration of advanced analytics into core business processes.

Location: Hybrid (US-based)

Salary: $116,000–$170,000 USD

Company

hirify.global provides expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

What you will do

• Lead the full lifecycle of AI/ML model productionalization.
• Architect and implement scalable AI infrastructure and deployment strategies.
• Define and enforce best practices for AI model lifecycle management.
• Build and maintain production-ready AI systems.
• Mentor engineering teams and cultivate expertise in modern AI engineering and MLOps tooling.
• Collaborate with data science teams to operationalize experimental models.

Requirements

• 4+ years of progressive experience in AI/ML engineering, with a proven track record of deploying and scaling AI solutions in production environments.
• High proficiency in MLOps and LLMOps platforms (e.g., MLflow, Kubeflow, Weights & Biases).
• Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation.
• Advanced programming skills in Python, with deep familiarity in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficient in leveraging cloud platforms (AWS, Azure, GCP) and their native AI/ML services.
• Solid experience in infrastructure as code (Terraform, CloudFormation) and configuration management.

Nice to have

• Experience deploying Large Language Models (LLMs) and Generative AI solutions.
• Knowledge of AI governance, model explainability, and responsible AI practices.
• Familiarity with vector databases and retrieval-augmented generation (RAG) architectures.
• Background in Agile/Scrum methodologies and technical team leadership.

Culture & Benefits

• Competitive compensation and limitless growth and learning opportunities.
• A collaborative and positive culture with a diverse team.
• Hybrid work environment, offering flexibility and support.
• 20+ PTO days plus holidays and floating holidays in your first year.
• Extensive medical, dental insurance and vision plan.
• 401K with corporate match (up to $7,200 per year), immediate vesting, parental leave, and tuition reimbursement.