Machine Learning Engineer#26-39971

$52.35-$56.35 per hour

Pleasanton, CA

Remote

Job Description

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Remote location.

Responsibilities:

Client is seeking an experienced AI Engineers to help build, optimize, and scale next-generation AI agents that support business functions across planning, allocation, forecasting, pricing, and operational execution.

This role sits at the forefront of Client's expanding AI initiative, where multiple AI agents are being developed and deployed to improve productivity, automate workflows, and drive better business outcomes.

Design, develop, and optimize AI agents that support enterprise business workflows

Build and maintain agentic workflows that drive automation, execution, and business insights

Integrate LLMs and AI services into production environments

Utilize APIs and AI SDKs to enhance and extend AI agent capabilities

Develop backend services and integrations using Python

Support AI workloads leveraging GCP technologies and BigQuery

Optimize AI agent performance, token utilization, and cost efficiency

Partner with business stakeholders to understand and solve real-world use cases

Build scalable and maintainable AI solutions that improve decision-making across multiple business domains

Support deployment, monitoring, and operational excellence of AI-powered systems

Requirements:

The ideal candidate will have hands-on experience building and supporting Agentic AI solutions, integrating Large Models (LLMs), and developing scalable AI workflows in cloud environments.

This position is less focused on traditional machine learning model development and more focused on the practical implementation, optimization, and operationalization of AI agents in production environments.

Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK).

Engineer will be assigned business use cases and will own the design, implementation, and continuous improvement of AI-driven solutions that enhance decision-making and workflow efficiency across multiple business domains.

Strong Python development experience

Experience building or supporting AI Agents and Agentic Workflows

Experience working with LLMs and Generative AI technologies

Exposure to AI SDKs such as OpenAI, Anthropic, or similar platforms

Experience integrating APIs into AI-driven solutions

GCP cloud experience, including BigQuery and cloud-native services

Experience working with unstructured data

Understanding of AI agent optimization, deployment, and operational performance

Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data Engineering

Experience deploying containerized applications using Docker

Exposure to CI/CD processes and automation pipelines

Experience working in multi-cloud environments (GCP preferred, Azure exposure helpful)

Retail, supply chain, planning, forecasting, or allocation experience is a plus

SQL and/or R experience