... handling multiple projects and shifting priorities. Adaptable and flexible, able to thrive in a fast-paced, dynamic environment. Work Life Balance Hybrid Work Model Flexible Working Hours Transport for Women Competitive Salary Bonus Food Allowance Out of Hours Compensation Pension and Gratuity Family Health Insurance Maternity ...
... degree in computer science, Information Technology, or related field. Experience working as a Data Engineer and/or in cloud modernization Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes Open Certified Technical Specialist with Data Engineering ...
... the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Work Model: Hybrid (3 days office) Experience: 16 - 24 Years Role: Enterprise Architect – Multi Cloud Engineering (Infrastructure Practice) The Enterprise Architect is ...
... our internal knowledge management process and information structure in collaboration with PMO, technical enablement teams, and technical writers. Act as a role model and a champion for operational excellence, project management practices, risk management, and security practices. 10+ years of experience in technical/operations ...
... Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational ...
... they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality ...
... supports customers through the entire customer lifecycle, including adoption, renewal, and expansion. Map customer processes to Atomicwork capabilities & data model Manage customer onboarding supported by the implementation consultant and partner with other internal team members as needed to ensure time to value goals are ...
... and deploy proof-of-concept GenAI systems First 180 Days: Ownership & Scale Own end-to-end ML/GenAI pipelines—from training to production deployment Implement model optimization and compression techniques where applicable Productionize ML and GenAI research for real-world enterprise use cases Monitor deployed models and ...
... making; demonstrates honesty/integrity; leads by example. • Encourages and building mutual trust, respect, and cooperation among team members. • Serves as a role model to demonstrate appropriate behaviors. • Supports all day-to-day operations. • Understands employee positions well enough to perform duties in employees' absence. ...
... patterns, build predictive models, and generate actionable business insights.- Perform end-to-end data preprocessing, feature engineering, model development, and model evaluation.- Develop and integrate REST APIs for seamless AI model deployment into enterprise systems.- Evaluate, fine-tune, and optimize AI/ML models to improve ...
... of Kinaxis Maestro modules such as Master Planning, Demand Planning, Supply Planning, Inventory Optimization, and Sales & Operations Planning (S&OP). Develop, model, and integrate data flows, custom scripts, and system interfaces to ensure high-quality, efficient operations. Collaborate cross-functionally with business and ...
... risks. Ensure that risk mitigation plans are effectively executed. Monitor and continuously enhance the Risk management process in line with the Target Operating Model (TOM) - define and educate key stakeholders and support them in identifying, detailing and managing risks across the department. Creatively apply knowledge of ...
... refurbishment maintenance processes. Strong client communication and documentation skills. Ability to work independently in a global delivery / onsite-offshore model. Good to Have Exposure to SAP S/4HANA Enterprise Asset Management innovations (simplified data model, embedded analytics). Experience or awareness of SAP Asset ...
... availability - Collaborate with development and QA teams for seamless releases - Troubleshoot and resolve infrastructure and deployment issues - Support AI/ML model deployment and basic MLOps workflows Required Skills: - 4+ years of experience in DevOps or related roles - Strong hands-on experience with Kubernetes - Proficiency ...
... cloud computing with AWS. - Experience of developing container-based testing environment. - Experience with Java / IntelliJ / Spring environment. - Type of work model: · Hybrid - Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of ...
... architectures and APIs in Java, Kotlin, Scala, or a similar language, on a major cloud platform. - Strong data architecture and schema design judgment. You've made modeling decisions that had to survive years of new requirements. - Experience owning a platform or shared service with real internal consumers, and a point of view ...
... across data solutions, BI, and driving digital adoption in Finance. XOPS Delivery Lead Devops of analytical products in Finance domain through 3P managed service model optimizing costs and driving efficiency Establish and enforce best practices for data governance, security, and lifecycle management Own end-to-end delivery ...
... senior engineers - Experience building or scaling engineering teams at a mission-driven organization or in emerging markets Experience with systems supporting model evaluation, feedback loops, or product/impact metrics Experience partnering directly with MEL/impact measurement functions A scalable, reliable engineering organization ...
... companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and ...