AI/ML Tech lead with Gen AI

Cloud Analytics Technologies, LLC; Rosemead (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A tech solutions firm located in Rosemead, CA, is seeking a Generative AI Engineer to design and deploy scalable AI solutions. This role involves building production-grade applications and optimizing AI model performance on the Google Cloud Platform. The ideal candidate should have extensive experience in machine learning and the AI suite, alongside strong expertise in Python and data management. The firm values collaboration and compliance with ethical standards in AI.

Qualifications

• 5-8+ years of industry experience in Machine Learning.
• At least 3+ years of hands-on experience in deploying Generative AI models.
• Proven experience with the Google Cloud AI suite.

Responsibilities

• Design and maintain production-grade Generative AI applications.
• Develop automated MLOps pipelines using Vertex AI and Kubeflow.
• Ensure compliance with data privacy and ethical AI standards.

Skills

Machine Learning

Generative AI models

Google Cloud Platform (GCP)

Python

Data Science libraries

Docker

Kubernetes

SQL

MLOps pipelines

CI/CD tools

Tools

TensorFlow

PyTorch

LangChain

LlamaIndex

Hugging Face

Vertex AI

BigQuery

Job description

Overview

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 Pythonand 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.

Equal Opportunity

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