AI Engineering Manager: Cloud ML & MLOps Leader

val's services; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

val's services is seeking an experienced AI/ML architecture and delivery lead to drive end-to-end design and development of AI/ML solutions on major cloud platforms. You will define architectures that integrate LLMs, generative AI, and traditional ML while overseeing projects and mentoring junior team members.

You will collaborate with clients to translate business needs into scalable technical solutions, lead workshops, and ensure best-practices in MLOps, security, and governance while staying

Qualifications

• Five+ years of experience in AI/ML, data engineering, or cloud solutions.
• Leadership or consulting experience for at least two years.
• Proficiency in Python, API development, microservices, containers, CI/CD, and MLOps frameworks.
• Experience with conversational AI, generative AI, AI security, and governance is preferred.

Responsibilities

• Lead end-to-end design and development of AI/ML solutions on cloud platforms (Azure, AWS, Google Cloud).
• Define solution architectures that incorporate LLMs, generative AI, and traditional ML; manage AI projects and ensure best MLOps practices.
• Collaborate with clients to translate business needs into technical solutions; mentor junior team members and lead workshops.

Skills

Python

API development

Microservices

Containers

CI/CD pipelines

MLOps frameworks

Conversational AI

Generative AI

AI security

Governance

Tools

Microsoft Azure

AWS

Google Cloud

Job description

val's services is seeking an experienced AI/ML architecture and delivery lead to drive end-to-end design and development of AI/ML solutions on major cloud platforms. You will define architectures that integrate LLMs, generative AI, and traditional ML while overseeing projects and mentoring junior team members.

You will collaborate with clients to translate business needs into scalable technical solutions, lead workshops, and ensure best-practices in MLOps, security, and governance while staying