Fortive

Platform Engineer

• Design and maintain AI/ML platform infrastructure, including compute clusters (CPU/GPU), storage systems, and networking for high-performance workloads.
• Develop internal tools and automation to streamline workflows across data preparation, model training, evaluation, and deployment.
• Implement Infrastructure as Code (IaC) for reproducible environments and automated provisioning (Terraform, CloudFormation).
• Build and manage Kubernetes clusters and container orchestration for ML services and pipelines.
• Integrate observability and monitoring for platform health, resource utilization, and ML workloads.
• Optimize cost and performance for compute-intensive ML tasks, including GPU scheduling and autoscaling.
• Collaborate with MLOps Engineers to enable CI/CD pipelines for ML models and data workflows.
• Ensure platform security and compliance, including IAM, secrets management, and network policies.
• Support feature stores, model registries, and experiment tracking systems to accelerate ML development.
• Drive innovation by introducing new tools and frameworks that improve productivity and reduce time-to-market for AI solutions.

Senior Platform Engineer

Machine Learning Engineer

• Own the ML platform infrastructure (training, serving, feature store, model registry) with attention to cost, reliability, and security.
• Lead initiatives to improve observability and monitoring for data pipelines and ML services, including data drift, model performance, and latency.
• Provide on-call support for production ML services; drive incident management and disaster recovery for ML workloads.
• Lead the implementation and adoption of MLOps automation (CI/CD for ML, model packaging, deployment, rollback, and retraining orchestration).
• Partner with Data Science and Engineering to improve reproducibility, experiment tracking, and model governance (versioning, lineage, approvals).
• Establish quality gates for datasets, features, and models (tests, validation, bias/risk checks) before promotion to production.
• Drive platform and tooling improvements (build in-house frameworks, templates, and reusable components to accelerate ML delivery).
• Champion Responsible AI practices: auditability, explainability, access controls, and compliance processes.
• Implement and maintain model monitoring systems to track:
• Prediction accuracy and performance metrics over time.
• Data drift and concept drift detection to trigger retraining workflows.
• Latency and resource utilization for inference services.
• Alerts and dashboards for anomalies, failures, and SLA breaches.
• Develop automated retraining and rollback strategies based on monitoring insights

Senior ML Ops Engineer

DevOps Engineer

• Manage, monitor, and maintain highly available systems (Windows and Linux)
• Analyze metrics and trends to ensure rapid scalability.
• Address routine service requests while identifying ways to automate and simplify.
• Create infrastructure as code using Terraform, ARM Templates, Cloud Formation.
• Maintain data backups and disaster recovery plans.
• Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps.
• Adhere to security best practices through all stages of the software development lifecycle
• Follow and champion ITIL best practices and standards.
• Become a resource for emerging and existing cloud technologies with a focus on AWS.

Site Reliability Engineer

Architect

• Gather business requirements and architect solutions for M365 services
• Provide Level 3 support for issues impacting Microsoft 365 tenant
• Lead implementation of Microsoft 365 Copilot across the organization
• Develop automation workflows and PowerShell scripts for efficiency
• Govern Microsoft Teams creation and lifecycle management

Microsoft 365 Architect

Implementation Specialist

• Lead implementation projects for new and existing customers, managing scope, budget, and timelines.
• Facilitate workshops and meetings (remote and onsite) to capture requirements and review configurations.
• Configure SaaS solutions, conduct testing, and support User Acceptance Testing.
• Deliver tailored training programs to customer teams.
• Manage change orders and provide recommendations for scope or timeline adjustments.
• Build strong relationships with customers and internal teams, ensuring clear communication and customer satisfaction.
• Assist support teams with resolving configuration issues post-implementation.

Implementation Consultant

Customer Support

• Lead the frontline support team responsible for timely intake, triage, and resolution of customer support cases
• Drive operational excellence and coach team members
• Ensure clear and empathetic communication with customers throughout the case lifecycle
• Manage on-call rotation for high-severity incidents outside business hours

Customer Support Manager – Tier 1

• Lead and mentor Tier 2 support engineers, ensuring high performance and professional development.
• Manage workload distribution, prioritize escalations, and maintain service-level agreements (SLAs).
• Supervise intake and response for Requests for Assistance (RFAs) from Tier 1 Support.
• Guide the team in troubleshooting complex technical issues involving databases, application servers, and integrated technologies.
• Act as a liaison between Support, Product, and Engineering teams to prioritize issues and influence release planning.
• Drive creation and delivery of training materials for new releases.
• Represent Tier 2 Support in triage meetings, ATCM sessions, and operational readiness activities.

Customer Support Manager, Tier 2

Product Manager

• Drive Business Performance and Optimize Investments
• Achieve BP targets for assigned products with tight collaborative work with the sales department.
• Manage expenses effectively within budget and make efficient investments.
• Properly manage promotional materials and fixed assets related to assigned products.
• Maintain appropriate inventory levels for assigned products.
• Manage Market Intelligence
• Timely acquisition and analysis of market trends, customer trends, and competitor information both domestically and internationally.
• Apply gathered information to develop MKTG strategies and sales plans for assigned products.
• Lead Product Strategy New Product Launch
• Plan how to launch new products into the market.
• Collaborate with departments domestically and globally to execute MKTG plans and maximize product value to drive business.
• Develop and execute communication strategies based on MKTG strategies for assigned products.
• Collaborate with internal stakeholders domestically and globally to build differentiation evidence against competitors.
• Develop Customer Relationship
• Build and maintain good relationships with key customers and Key Opinion Leaders (KOLs) related to assigned products.

Support Engineer

• FSE（フィールドサービスエンジニア）のサポート全般（基本内勤業務で、全国のサービスエンジニアの活動を中央で支援）
• 技術サポート（手順書作成、トラブルシューティング、技術問い合わせ対応）
• 部品管理（在庫管理、供給調整、発注サポート）
• プロセス・システム・環境改善（業務効率化、標準化、改善提案）
• オペレーションデータの収集・解析・戦略立案（KPI分析、傾向把握、改善施策の立案）
• 国内の取り纏め（各拠点との調整、報告）
• Globalとのコミュニケーション（英語での会議・メール・報告）

Technical Support Engineer

Director

• You will drive LDR commercial performance for Australasia and provide inspired leadership to a team of ~10 sales and customer success professionals.
• Drive ambitious top-line growth with P&L margin expansion, with focus on new customer acquisition, existing customer retention, and accelerate share gain opportunities.
• Establish partnerships with KOLs in medical/industrial societies, opinion leaders, clients and enterprises.
• Develops strategies for uncovering market opportunities by establishing priorities and recommending a process for obtaining intelligence information.
• Understand the competitive landscape by being an expert on our competition and how they are positioned.
• You will lead, coach, and motivate the team to drive sustained growth.