Note: The job is a remote job and is open to candidates in USA. Opusing LLC is a staffing agency seeking a highly technical and results-driven AI Engineer to optimize complex logistics workflows and drive operational efficiency. The role involves leveraging Artificial Intelligence and Machine Learning to develop scalable solutions and requires collaboration with various teams to address business challenges.
Responsibilities
- End-to-End AI/ML Development
- Design, build, train, validate, deploy, and monitor production-ready machine learning models
- Ensure model performance, reliability, and accuracy in live operational environments
- AI Agents & Workflow Automation
- Design and deploy AI agents that automate complex, multi-step operational workflows and decision-making processes
- Build and scale agentic workflows and Retrieval-Augmented Generation (RAG) solutions
- Operational Automation & Optimization
- Automate repetitive operational workflows, reporting processes, and decision-support systems
- Deliver measurable improvements in efficiency, productivity, and cost reduction
- Data Engineering & Pipeline Development
- Build robust ETL and data pipelines to ingest, clean, transform, and process structured and unstructured datasets
- Work with operational data sources, including inventory, routing, labor, and service events
- Systems Integration
- Integrate AI tools and predictive models with warehouse, logistics, and operational software systems
- Rapidly prototype solutions that generate immediate business impact
- Cross-Functional Collaboration
- Partner with Operations, Finance, Facilities, Procurement, and IT teams to identify business challenges and develop AI-driven solutions
- Create decision-support dashboards and communicate technical insights to stakeholders
- AI Governance & Safety
- Ensure responsible AI deployment through rigorous model validation, documentation, risk mitigation, bias reduction, data governance, and security practices
- Build fail-safes into automated decision-making systems
- Target Operational AI Use Cases Logistics & Routing
- Route and delivery optimization
- Predictive maintenance for vehicles and equipment Workforce & Labor
- Labor scheduling optimization
- Capacity planning
- Workload balancing across warehouses Supply Chain & Inventory
- Inventory discrepancy detection
- Automated inventory reconciliation
- Demand forecasting
- Supply requirement prediction Facilities & Operations
- Facility expense management
- Operational anomaly detection
- Cost optimization modeling
- Computer vision for document, barcode, and label recognition
Skills
- Strong proficiency in Python (primary development language)
- Advanced SQL skills with PostgreSQL, SQL Server, or MySQL
- Experience with Git version control
- Hands-on experience with agentic workflows and RAG solutions using tools such as Gemini Enterprise, n8n, LangChain
- Data Processing: Pandas, NumPy
- Machine Learning: Scikit-learn, XGBoost
- Data Visualization: Matplotlib, Plotly, Seaborn
- Automation & APIs: FastAPI, Flask
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field
- 5+ years of hands-on experience in AI/ML engineering, data science, or advanced analytics
- TensorFlow or PyTorch
- OpenCV
- OR-Tools
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with message queues and event-streaming architectures
- Experience within logistics, transportation, supply chain, warehousing, or field operations
Company Overview
Opusing is a 100% Minority-owned and diversity-certified firm, specializing in Digital Transformation and staffing services. It was founded in 2007, and is headquartered in Boston, MA, US, with a workforce of 1001-5000 employees. Its website is https://www.opusing.com.