Our client, an American multinational clothing and accessories retailer company., is looking to hire a Machine Learning Engineer in Pleasanton, CA - Remote.
Role: Machine Learning Engineer
Location: Pleasanton, CA - Remote
Duration: 6 months contract the possibility of extension
Pay Rate: $60/hour - $62/hour w2
Overview:
- 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 expanding AI initiative, where multiple AI agents are being developed and deployed to improve productivity, automate workflows, and drive better business outcomes.
- The ideal candidate will have hands-on experience building and supporting Agentic AI solutions, integrating Large Language 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.
Top Must-Have Skills:
- 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
Responsibilities:
- 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
Preferred Qualifications:
- 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
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For workers in the United States, PrideGlobal and it's affiliates offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.
Equal Employment Opportunity
PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.
Fair Chance Employment
PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.
Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.
Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.
Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.
