Your HR Co-Pilot for Smarter Decisions | AI-Powered Analytics Solutions Making Complex HR Analytics Simple and Fast
Hyderabad, Telangana
PeoplePilot is an AI-powered People Analytics platform, designed to help businesses unlock deeper insights into their workforce and streamline HR processes. By leveraging cutting-edge artificial intelligence and advanced analytics, PeoplePilot transforms raw HR data into actionable intelligence—empowering organizations to make smarter, faster decisions with minimal effort. Core Features: - AI-Driven Insights Generator: Our proprietary analytics engine delivers fast, secure computation with natural language processing (NLP) capabilities, allowing users to interact with data intuitively and generate comprehensive reports in minutes. - Solutions Library: A customizable library of 250+ AI-powered HR use cases tailored for documentation, decision-making, and strategic insights. This includes persona-based responses and industry-specific knowledge integration for relevant outputs. - End-to-End Data Analytics Lifecycle Management: PeoplePilot simplifies every step of the HR analytics process—from data upload and quality checks to data cleaning and visualization—ensuring high-quality insights in real-time. - User-Centric Design: With a simple four-step report generation process, PeoplePilot is designed for ease of use—requiring zero technical expertise. It's built to empower HR professionals at all levels to access insights without the need for specialized skills. - Robust Data Security: Your HR data remains within our secure processing environment, with no information shared with third-party platforms or Large Language Models (LLMs) for processing. This guarantees complete data privacy and sovereignty at all times. Key Benefits: - Faster Decision-Making: By automating manual reporting tasks, drastically reduces the time spent on generating analytical reports—from days to just minutes. - Data Integrity & Quality: Our intelligent data processing engine, DataLens, ensures through advanced parsing, contextual recognition, automated quality assessment, and smart data cleaning
On-site · Montréal
Lead structured investigations into delivery, manufacturing, and quality issues, using operational data and root cause analysis methods to identify systemic causes. Coordinate cross-functional corrective actions, maintain the root cause register, analyze SAP MRP outputs, and track action effectiveness and operational improvements.
Hybrid · Toronto
Design and maintain secure, scalable, reliable architectures for distributed systems, APIs, cloud infrastructure, and event-driven applications. Collaborate with business and delivery stakeholders, evaluate technology options, present proposals for approval, and provide architectural guidance throughout implementation.
On-site · Montréal
Manage and strengthen security across Azure, AWS, and Google Cloud environments by implementing Zero Trust, RBAC, IAM, security monitoring, and secure logging practices. Apply industry-standard application security controls and best practices to reduce risks and strengthen application security.
On-site · Montréal
Design, implement, and maintain security controls across network, cloud, server, endpoint, and application environments, while monitoring security events and supporting incident response. Conduct vulnerability and risk assessments, manage security technologies, collaborate with technical teams, and support audits, compliance, policies, and documentation.
On-site · Longueuil
Develop Python automation to interpret inspection-requirement files and transfer engineering requirements into metrology software such as GOM and PolyWorks. Build inspection-result pipelines and reports, support 3D-scanning tools and databases, and apply engineering drawings and aerospace quality standards to inspection workflows.
On-site · Montréal
Design, develop, analyze, test, and validate hydromechanical systems, including hydraulic and fuel systems. Support multidisciplinary system integration, participate in design reviews, and troubleshoot technical issues through root cause analysis.
On-site · Montréal
Perform complex CFD and coupled fluid-flow and heat-transfer analyses, including pipe network and thermodynamics challenges, and interpret results for aircraft design and sizing. Prepare test plans and engineering documentation, document ground and flight test results, and support inlet/outlet design and broader aerospace engineering activities.
Hybrid · Montréal
Support enterprise network and infrastructure integration, application onboarding and migration, and data center, cloud, and hybrid infrastructure initiatives. Coordinate with technical teams on secure connectivity, change management, production readiness, releases, cutovers, and technical documentation.
On-site · Montréal
Serve as the liaison between business stakeholders and technical teams, translating requirements into scalable solutions and leading application development and support across Microsoft and Azure platforms. Lead solution design, workshops, training, and cross-functional delivery while supporting incidents, production operations, change management, and releases.
Remote · Montreal, Quebec, Canada
The engineer will support the development, integration, and certification of aircraft air systems, including ECS and pneumatic systems. Responsibilities include defining system specifications, managing vendor drawings, and participating in flight test programs.
On-site · Toronto
Design, develop, and maintain scalable Java and Node.js applications using microservices and clean code principles. Ensure high software quality through comprehensive unit testing, security-by-design, and continuous integration pipelines.
On-site · Toronto
Design, develop, and maintain high-quality Java applications and microservices using clean code and SOLID principles. Ensure software reliability through comprehensive unit testing, TDD, and integration into CI/CD pipelines.
On-site · Toronto
Develop and execute comprehensive quality strategies and scalable automation frameworks for AI-enabled software products. Evaluate AI responses for accuracy and reliability while integrating quality checks into CI/CD pipelines.
On-site · Toronto
Design and maintain AWS-based developer platforms and scalable CI/CD pipelines. Develop and integrate AI/LLM-based agents and tools into enterprise developer environments using Python.
On-site · Toronto
Design and develop automated Jira Service Management workflows, intake forms, and enterprise integrations. Build production-grade services using Java, Python, and AI to optimize classification, routing, and system observability.
On-site · Toronto
Lead the end-to-end planning and delivery of complex DevOps initiatives, coordinating across multiple squads and enterprise partner teams. Establish governance structures and manage the critical path to ensure successful implementation, rollout, and operational handoff.
On-site · Toronto
The role involves designing and architecting enterprise applications and leading the migration from traditional WebSphere Application Server to Open Liberty. Responsibilities include developing cloud-native microservices, implementing CI/CD pipelines, and providing technical leadership to development teams.
On-site · Toronto
Lead the design, architecture, and delivery of cloud-native applications while managing end-to-end technical delivery for customers. Provide technical guidance and mentorship to development teams to ensure scalability and quality objectives are met.
