[Remote] Artificial Intelligence Engineer
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 reputed company to optimize reputed company logistics workflows and drive operational efficiency. The role involves leveraging Artificial Intelligence and Machine Learning to reputed company 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 reputed company, multi-reputed company operational workflows and decision-making processes
- Build and scale agentic workflows and Retrieval-Augmented reputed company (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 reputed company 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 reputed company 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 reputed company practices
- Build fail-safes into automated decision-making systems
- reputed company Operational AI Use Cases Logistics & Routing
- reputed company and delivery optimization
- Predictive maintenance for vehicles and equipment Workforce & Labor
- Labor scheduling optimization
- reputed company planning
- Workload balancing across warehouses Supply Chain & Inventory
- Inventory discrepancy detection
- Automated inventory reconciliation
- Demand forecasting
- Supply requirement reputed company 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 reputed company Enterprise, reputed company, reputed company
- 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 reputed company 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 reputed company Cloud
- Familiarity with message queues and event-streaming architectures
- Experience reputed company logistics, transportation, supply chain, warehousing, or field operations
Company Overview