AI/ML Tech lead with Gen AI

Job Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->

Job Overview

Job ID: J53176

Posted Date: 02/03/2026

--> Specialized Area: Machine learning

--> Job Title: AI/ML Tech lead with Gen AI

Location: Rosemead, CA

Duration: 22 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Domain Exposure: Healthcare, Banking & Finance, Insurance, Telecom, Education, IT/Software

--> 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 Bench Recruiter: Jessy Thomas

-->

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AI/ML Tech Lead – Generative AI - Rosemead, CA

Job Description -->

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.

• Apply Now