Lead AI Engineer (ML Ops) (AI Engineering)

TL;DR

Lead AI Engineer (ML Ops) (AI Engineering): Spearheading the end-to-end productionalization of AI initiatives, focusing on designing, deploying, and scaling enterprise-grade AI solutions. Focus on establishing resilient MLOps and LLMOps pipelines for seamless model deployment, orchestration, and monitoring at scale.

Salary: 116,000 USD - 170,000 USD

Company

hirify.global delivers 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, establishing resilient MLOps and LLMOps pipelines.
• Architect and implement scalable AI infrastructure and deployment strategies, ensuring robust integration with enterprise platforms and data ecosystems.
• Define and enforce best practices for AI model lifecycle management, including version control, automated testing, and CI/CD processes.
• Build and maintain production-ready AI systems, driving the integration of advanced analytics and machine learning into core business processes.
• Collaborate with data science teams to operationalize experimental models, transforming prototypes into reliable, scalable solutions.
• Continuously evaluate and adopt emerging technologies in AI engineering, MLOps, and LLMOps.

Requirements

• 4+ years of experience in AI/ML engineering, with a track record of deploying and scaling AI solutions.
• Proficiency in MLOps and LLMOps platforms (e.g., MLflow, Kubeflow, Weights & Biases).
• Strong DevOps background, including experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation.
• Advanced programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficient in leveraging cloud platforms (AWS, Azure, GCP) and their native AI/ML services.
• Strong understanding of data engineering pipelines and real-time data processing architectures.

Nice to have

• Experience deploying Large Language Models (LLMs) and Generative AI solutions.
• Knowledge of AI governance, model explainability, and responsible AI practices.
• Exposure to edge computing and advanced model optimization techniques.

Culture & Benefits

• Enjoy the flexibility of working from home and collaborating with peers in dynamic offices.
• 20+ PTO days plus holidays and floating holidays in your first year.
• Extensive medical, dental insurance and vision plan.
• 401K with corporate match, immediate vesting.
• Health-and-wellness-related allowance programs.
• Tuition reimbursement.