AI/ML Tech lead with Gen AI

Cloud Analytics Technologies, LLC; Rosemead (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

CLOUD ANALYTICS TECHNOLOGIES LLC in Rosemead, CA is seeking an experienced ML Engineer to design and deploy scalable Generative AI solutions in production. You will build APIs on GCP with Gemini models, implement RAG architectures, and manage vector databases to solve complex business problems.

You will develop automated MLOps pipelines using Vertex AI, Kubeflow, Cloud Build, and Terraform, while fine-tuning models, quantizing for efficiency, and ensuring security and compliance across projects.

Qualifications

• 5–8+ years of ML experience with 3+ years building Generative AI in production.
• Proven hands-on with GCP and Vertex AI, BigQuery and data pipelines.
• Strong Python skills and standard data science libraries.
• Hands-on with LangChain, LlamaIndex, or Hugging Face.
• Strong SQL and unstructured data management.
• Familiarity with Docker, Kubernetes (GKE), and CI/CD tooling.

Responsibilities

• Design, build, and maintain production-grade Generative AI apps and APIs on GCP with Gemini models, RAG, and vector DBs.
• Develop automated MLOps pipelines (training, eval, monitoring, deployment) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Implement fine-tuning, quantization, and prompt engineering to improve accuracy and latency.
• Optimize GCP resources for high-performance computing, ensuring scalability, cost-efficiency, and security (IAM, VPC).
• Partner with Data Science, Data Engineering, and Product teams to translate business requirements into AI roadmaps.
• Ensure compliance with data privacy, security regulations (HIPAA, GDPR if applicable), and ethical AI standards.

Skills

Generative AI

GCP Vertex AI

Python

LangChain

LlamaIndex

Hugging Face

SQL

Docker

Kubernetes (GKE)

CI/CD tooling

Tools

Vertex AI

BigQuery

Dataflow

Cloud Run

Terraform

Kubeflow

GitHub Actions

Job description

Designing and deploying scalable, secure, and reliable LLM-based solution, implement Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic workflows to solve complex business problems.

Key Responsibilities

• Design, build, and maintain production-grade Generative AI applications and APIs on GCP, focusing on Gemini models, RAG architectures, and vector databases.
• Develop automated MLOps pipelines (training, evaluation, monitoring, deployment) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Implement techniques to enhance AI model performance, including fine-tuning, quantization (e.g., GPTQ, AWQ), and prompt engineering to improve accuracy and reduce latency.
• Optimize GCP resources for high-performance computing, ensuring scalability, cost-efficiency, and security (IAM, VPC).
• Partner with Data Science, Data Engineering, and Product teams to translate business requirements into technical AI/ML roadmaps.
• Ensure compliance with data privacy, security regulations (HIPAA, GDPR, if applicable), and ethical AI standards.

Required Qualifications

• 5-8+ years of industry experience in Machine Learning, with at least 3+ years of hands-on experience in building and deploying Generative AI models and LLMs in a production environment.
• Proven experience with Google Cloud Platform (GCP) and its AI suite (Vertex AI, BigQuery, Dataflow, Cloud Run).
• Strong expertise in Python and standard data science libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with framework tooling such as LangChain, LlamaIndex, or Hugging Face.
• Strong understanding of SQL and unstructured data management.
• Familiarity with Docker, Kubernetes (GKE), and CI/CD tools.

Preferred Qualifications

• Experience with multi-agent systems and orchestration (e.g., LangGraph, AutoGen).
• Deep knowledge of Vector Databases (e.g., Vertex AI Vector Search, Pinecone, Chroma).
• Demonstrated experience leading team projects and mentoring 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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