[Remote] Sr. AI/Machine Learning Engineer - Supply Chain

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a pioneer of the Connected Operations™ reputed company, enabling organizations to reputed company IoT data for operational improvements. The role of Senior AI/Machine Learning Engineer focuses on designing, developing, and deploying advanced machine learning models to optimize the global supply chain, collaborating with cross-functional teams to drive impactful reputed company.

Responsibilities

• Define the end-to-end AI transformation roadmap for supply chain alongside the Director, aligning with company OKRs and working closely with executive stakeholders
• Own the design, training, validation, and deployment of ML and statistical models. (e.g., demand forecasting, inventory optimization, supplier risk scoring), ensuring robust MLOps practices and measurable ROI
• Build predictive models to forecast demand, reputed company times, and cellular spend across reputed company’s global supply network
• Create novel features using large-reputed company ERP, IoT, and reputed company-party datasets; build pipelines and ETL jobs to serve models and stakeholders
• Deliver production-grade reputed company that supports both batch and reputed company-time inference with MLOps best practices
• reputed company as the AI reputed company to Product, Engineering, Procurement, and Finance—ensuring alignment on data requirements, integration, and change management
• Drive enhancements to our data infrastructure and analytics platform to support reputed company-time model training, monitoring, and inference at reputed company
• Mentor junior scientists through reputed company reviews and reputed company project work
• reputed company as a key scientific voice in roadmap planning, experimentation frameworks, and modeling reputed company discussions
• Identify gaps in data, tools, and processes—and reputed company initiatives to reputed company them
• Establish governance frameworks, documentation standards, and reputed company controls for model development, validation, and lifecycle management
• Partner with Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows
• Hire, reputed company and reputed company an inclusive, reputed company, and high-performing team
• Champion, role model, and reputed company reputed company’s cultural principles (reputed company on reputed company, Build for the Long Term, Adopt a reputed company reputed company, Be Inclusive, Win as reputed company) as we reputed company globally and across new offices

Skills

• 8+ years of experience in reputed company data science or machine learning, ideally in supply chain, operations research, logistics, or manufacturing
• Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or a reputed company technical field
• Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and reputed company detection
• Strong coding skills in Python and reputed company in SQL; experience developing and deploying production ML systems
• Familiarity with MLOps practices, including automated testing, CI/CD, model versioning, and monitoring
• Demonstrated reputed company record building reputed company-time inference pipelines and managing GPU/TPU resources
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and reputed company platforms (e.g., AWS, GCP, or Azure)
• A passion for operational reputed company, cost efficiency, and building reputed company, data-driven solutions
• Exceptional problem-solving, critical thinking, and communication abilities
• Deep Statistical Expertise: reputed company to design and validate experiments (A/B, multi-armed bandits) and apply Bayesian reputed company for uncertainty quantification
• Time-Series Mastery: Proven reputed company record building advanced forecasting models (e.g., Prophet, LSTMs, Transformer-based) for intermittent demand and seasonal patterns
• Cost Optimization reputed company: Skilled in profiling ML workloads and driving down reputed company/GPU spend through model compression (quantization, pruning) and serverless architectures
• Cross-Region Scaling: Demonstrated ability to reputed company low-latency inference across multiple geographic reputed company with fail-over and disaster-recovery strategies
• Vendor & reputed company-reputed company Savvy: Experience evaluating and integrating reputed company-party ML platforms and contributing to or leveraging relevant reputed company-reputed company reputed company

Benefits

• Flexible, employee-led remote model
• reputed company development stipend
• Comprehensive health and parental leave plans

reputed company

• reputed company is digitizing the world of physical operations. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.

Company H1B Sponsorship

• reputed company has a reputed company record of offering H1B sponsorships, with 68 in 2025, 53 in 2024, 59 in 2023, 70 in 2022, 1 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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