MLOps Engineer: GenAI & LLM Production

InfoVision Inc.; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

InfoVision Inc. is seeking an MLOps Engineer to productionize and scale machine learning and Generative AI systems. The successful candidate will focus on LLM deployment, orchestration, and reliability in production environments.

This role involves deploying and managing ML/DL models, building Kubernetes-based infrastructures, and designing scalable inference systems. Strong experience with model deployment, optimization of LLMs, and proficiency in Python are essential.

Qualifications

• Experience with deploying, managing, and scaling ML/DL models in production.
• Hands-on experience with Kubernetes-based infrastructure for ML workloads.
• Proficiency in model packaging, serialization, and versioning.

Responsibilities

• Deploy, manage, and scale ML/DL models in production.
• Build and operate Kubernetes-based infrastructure for ML workloads.
• Design scalable inference systems for batch and real-time processing.

Skills

Hands-on experience with ML/DL models and serialization

Proven experience in model deployment, scaling, and monitoring

Experience with local LLM deployment and optimization

Solid understanding of LLM memory patterns

Experience with API gateways

Familiarity with GenAI workflows

Experience building agentic systems

Proficiency in Python

Job description

InfoVision Inc. is seeking an MLOps Engineer to productionize and scale machine learning and Generative AI systems. The successful candidate will focus on LLM deployment, orchestration, and reliability in production environments.

This role involves deploying and managing ML/DL models, building Kubernetes-based infrastructures, and designing scalable inference systems. Strong experience with model deployment, optimization of LLMs, and proficiency in Python are essential.