AI/ML Tech lead with Gen AI

MACHINE LEARNING TECHNOLOGIES LLC; Rosemead (CA); On-site; USD 124,000 - 207,000; Full time

Job summary

Machine Learning Technologies LLC in Rosemead, CA seeks an AI/ML Tech Lead with Gen AI to design and deploy scalable, secure LLM-based solutions and RAG workflows. You will lead development of production-grade AI applications on GCP, and guide cross-functional teams to deliver end-to-end AI products.

The role emphasizes hands-on experience with Vertex AI, LlamaIndex, LangChain, Python, and modern MLOps practices, including tuning, optimization, and responsible AI considerations.

Qualifications

• 5–8+ years in Machine Learning with 3+ years building and deploying Generative AI models in production.
• Proven experience with GCP and Vertex AI, BigQuery, Dataflow, Cloud Run.
• Strong Python skills and common libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on with LangChain, LlamaIndex, or Hugging Face; SQL and unstructured data handling.
• Familiarity with Docker, Kubernetes, and CI/CD tooling.

Responsibilities

• Design, build, and maintain production-grade Generative AI apps and APIs on GCP with Gemini models.
• Develop MLOps pipelines for training, evaluation, monitoring, and deployment.
• Tune models with quantization and prompt engineering to improve accuracy and latency.
• Optimize GCP resources for scalability, cost-efficiency, and security (IAM, VPC).
• Collaborate with Data Science, Data Engineering, and Product teams on AI roadmaps.
• Ensure data privacy, security regulations and ethical AI practices.

Skills

Machine Learning

Generative AI

LLM Deployment

Python

SQL

CI/CD

GCP / Vertex AI

Data science libraries

Tools

LangChain

LlamaIndex

Hugging Face

Docker

Kubernetes (GKE)

Terraform

BigQuery

Job description

Job Summary

Job ID: J53176
Job Title: AI/ML Tech lead with Gen AI
Location: Rosemead, CA
Duration: 22 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C

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).
• Google Cloud Professional Machine Learning Engineer certification.
• Demonstrated experience leading team projects and mentoring junior engineers.

Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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.