AI/ML Tech Lead – Generative AI

Cloud Analytics Technologies, LLC; Rosemead (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

CLOUD ANALYTICS TECHNOLOGIES LLC seeks an AI/ML Tech Lead with hands-on Generative AI expertise to design and deliver production-grade GenAI solutions on Google Cloud Platform. You will drive RAG architectures and end-to-end MLOps, collaborating with Data Science and Product teams to meet performance, security, and compliance requirements.

You will mentor engineers, shape technical roadmaps, and ensure ethical AI practices while delivering scalable, cost-efficient cloud infrastructure and robust

Qualifications

• 5–8+ years of industry experience in Machine Learning.
• 3+ years of hands-on experience building and deploying Generative AI / LLM-based solutions in production.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Dataflow, Cloud Run.
• Advanced proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with LLM frameworks/tools such as LangChain, LlamaIndex, or Hugging Face.
• Solid understanding of SQL and unstructured data processing.
• Experience with Docker, Kubernetes (GKE), and CI/CD pipelines.

Responsibilities

• Design, build, and deploy production-ready Generative AI applications and APIs on GCP.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Develop and manage end-to-end MLOps pipelines (training, evaluation, deployment, monitoring) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Optimize model performance through fine-tuning, prompt engineering, and model compression techniques (e.g., GPTQ, AWQ).
• Architect scalable and cost-efficient GCP infrastructure with a strong focus on security, IAM, and VPC design.
• Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.
• Ensure adherence to data privacy, security, and ethical AI standards (HIPAA, GDPR, where applicable).
• Provide technical leadership, guidance, and mentorship to team members.

Skills

Generative AI / LLMs

MLOps leadership

Python

Security & Compliance

Cross-functional collaboration

Tools

Vertex AI

BigQuery

Dataflow

Cloud Run

Docker

Kubernetes (GKE)

CI/CD

LangChain

LlamaIndex

Hugging Face

Job description

We are seeking anAI/ML Tech Lead with strong hands-on experience in Generative AIto design and deliver production-grade LLM-powered solutions. This role focuses on building scalable GenAI systems onGoogle Cloud Platform (GCP), leveragingGemini models,RAG architectures, andagentic workflowsto solve complex business problems.

You’ll work closely with Data Science, Engineering, and Product teams to translate business needs into robust AI/ML solutions while ensuring performance, security, and compliance.

Key Responsibilities

Design, build, and deployproduction-ready Generative AI applications and APIson GCP.

ImplementRetrieval-Augmented Generation (RAG)pipelines using vector databases and unstructured data sources.

Develop and manageend-to-end MLOps pipelines(training, evaluation, deployment, monitoring) usingVertex AI, Kubeflow, Cloud Build, and Terraform.

Optimize model performance throughfine-tuning, prompt engineering, and model compression techniques(e.g., GPTQ, AWQ).

Architect scalable and cost-efficient GCP infrastructure with a strong focus onsecurity, IAM, and VPC design.

Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.

Ensure adherence todata privacy, security, and ethical AI standards(HIPAA, GDPR, where applicable).

Provide technical leadership, guidance, and mentorship to team members.

Required Qualifications

5–8+ yearsof industry experience in Machine Learning.

3+ years of hands-on experiencebuilding and deployingGenerative AI / LLM-based solutionsin production.

Strong experience withGoogle Cloud Platform (GCP), includingVertex AI, BigQuery, Dataflow, Cloud Run.

Advanced proficiency inPythonand ML frameworks (TensorFlow, PyTorch, scikit-learn).

Hands-on experience withLLM frameworks/tools such asLangChain, LlamaIndex, or Hugging Face.

Solid understanding ofSQLand unstructured data processing.

Experience withDocker, Kubernetes (GKE), and CI/CD pipelines.

Preferred Qualifications

Experience withmulti-agent systems and orchestration(LangGraph, AutoGen, etc.).

Deep understanding ofvector databases(Vertex AI Vector Search, Pinecone, Chroma).

Proven ability tolead technical initiativesand mentor junior engineers.

CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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