Top Tech Jobs & Startup Jobs

Leads AI and machine learning strategy, model development, technical explorations, and production deployment. Uses Vertex AI and MLOps practices to deliver scalable solutions, collaborates with business and engineering stakeholders, oversees the AI development lifecycle, manages model performance, mentors data scientists, and promotes AI literacy. Requires expertise in supervised learning, optimization, Python, SQL, GCP, and AI solution architecture.

Manage day-to-day contingent workforce program operations for India-based engagements. Serve as the operational subject matter expert, monitor KPIs and SLAs, ensure labor-law and policy compliance, resolve issues, support vendors and resource managers, analyze performance and cost savings, and recommend process improvements.

Leads the design and implementation of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, Airflow, and MLflow. Automates model deployment, monitoring, retraining, logging, and orchestration while establishing CI/CD, quality, and architecture standards. Provides production support, troubleshooting, optimization, and root cause analysis; partners with data science, engineering, and business teams; researches emerging technologies; and mentors engineers.

Leads FP&A and financial governance for global supply chain raw materials. Partners with sourcing, procurement, operations, and finance teams on planning, forecasting, reporting, margin improvement, cost savings, and financial analysis. Uses SAP cost modules to assess pricing, volume, incoterms, and vendor impacts, identify variances and root causes, improve reporting processes, and provide data-driven insights to business leaders.

Leads a team of five statisticians and data scientists while establishing experimentation standards across R&D. Owns end-to-end Design of Experiments strategy, advanced statistical modeling, decision-ready analytics, and reusable analytical tools. Partners with product development, process development, quality, and operations to improve product and process robustness. Coaches R&D teams, strengthens data and measurement discipline, and drives statistical rigor in a matrixed environment.

Processes customer promotional invoices, manages accounts receivable and delinquent accounts, reconciles inventory and transactional grain accounting, supports product costing and SAP master data, coordinates exports and customs documentation, and ensures SOX compliance, accurate month-end invoicing, audit readiness, stakeholder collaboration, and continuous process improvement.

Leads enterprise AI and data science strategy focused on Supply Chain decisioning. Designs and deploys production-grade machine learning, optimization, LLM, NLP, computer vision, agentic AI, and RAG solutions on GCP. Establishes architecture, governance, security, monitoring, and responsible AI standards while mentoring data scientists and influencing technology roadmaps. Partners with business, engineering, and platform leaders to deliver scalable, measurable AI products and services.

Designs, builds, and supports cloud data engineering, ETL, SQL, and data warehouse solutions primarily on GCP. The role integrates enterprise data, supports platforms and scheduling tools, partners with technical and business stakeholders, leads small projects, drives automation and continuous improvement, and trains team members. Required expertise includes Python, SQL, BigQuery, Composer, Cloud Functions, dbt, cloud storage, data warehousing, and data governance.

Leads sourcing strategy and execution for complex marketing categories, including creative, production, promotions, packaging, licensing, and coupons. Manages RFPs, negotiations, supplier relationships, category strategies, savings pipelines, risk reduction, compliance, and stakeholder alignment across marketing, finance, legal, and suppliers. The role operates on a 3:30 p.m. to 12:30 a.m. schedule.

Designs, develops, tests, deploys, optimizes, and supports SAP Order-to-Cash and Customer Fulfillment solutions. Partners with supply chain, business, IT, and data stakeholders to translate requirements into scalable solutions, leads testing and production deployment, maintains test scripts, supports user adoption, mitigates risks, and mentors team members across logistics and customer fulfillment.