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The Admin Executive will oversee day-to-day administrative operations, manage office supplies, coordinate scheduling, support IT systems, handle communication, arrange travel and events, and manage vendor relationships to ensure smooth office operations.
As a Mobile Automation Testing Engineer, you will design and develop test automation frameworks, create scripts for testing mobile applications, set up CI/CD pipelines, and work closely with project managers to track and log defects. You will be involved in exploring new tools and technologies to enhance testing efficiency.
The BRM / ECE Senior Developer at NomiSo will design and implement solutions for a telecom platform, support billing processes, and manage application performance. Responsibilities include troubleshooting, conducting tests, and ensuring compliance with build management processes.
The Data Engineer will design, implement, and maintain scalable data pipelines, optimize data flow, and support various teams including software developers and data analysts. Key responsibilities include building ETL workflows, ensuring data quality, and collaborating with stakeholders to meet data needs.
The Azure Cloud Engineer is responsible for designing, deploying, and managing Azure cloud infrastructure, automating cloud provisioning with Infrastructure as Code, and ensuring cloud security practices. Key tasks include building CI/CD pipelines, optimizing performance, setting up monitoring and alerting, and implementing disaster recovery solutions.
As a Data Observability & Quality Engineer, you will ensure data reliability and integrity by developing monitoring systems, implementing automated quality checks, and establishing alerting frameworks. Collaborating with data engineering teams, you will uphold data quality standards across various platforms to facilitate data-driven decision-making within the organization.
The Advanced Data Analytics Engineer will design and develop scalable data pipelines, integrate and manage data from multiple sources, and optimize analytics tools for business insights. This role involves collaboration with data scientists and business analysts, focusing on advanced analytics solutions and ensuring data integrity and quality.
The Advanced Data Analytics Lead will drive the data analytics strategy, managing a team of analysts and engineers to leverage advanced techniques and machine learning. Responsibilities include overseeing migrations, collaborating with teams, ensuring data quality, and providing strategic insights to leadership.
The Technical Program Manager will lead the coordination of multiple related projects to achieve strategic business goals, ensuring objectives are met on time and within budget by collaborating with project managers and senior management, managing agile teams, and facilitating effective communication across all organizational levels.
As a Principal Architect, you will lead the design and development of robust software solutions, focusing on distributed systems and modern architecture. Responsibilities include architectural leadership, hands-on development, delivering technical solutions, overseeing production operations, ensuring security and compliance, and collaborating with leadership.
The AIML Developer will utilize ML/AI algorithms to improve product offerings by identifying customer pain points and recommending solutions. Responsibilities include coding, collaborating with C-level executives, implementing predictive models, and mentoring team members, with a focus on delivering insights and business value.
As an AI/ML Testing Engineer, you will develop and execute testing strategies for AI and machine learning models, ensuring their accuracy and reliability. You will collaborate with cross-functional teams to validate model outputs, automate testing processes, and document results for ongoing improvement.
The Statistician will apply statistical techniques to analyze and interpret data for product testing, develop monitoring systems for data quality, and support AI/ML model development through statistical analysis. Collaboration with QA and development teams is crucial for ensuring statistical soundness in testing methodologies.
The Applied AI/ML Lead will drive the development and deployment of AI and machine learning models for real-world business applications. The role involves leading a team to apply AI/ML techniques, collaborating with cross-functional teams, and ensuring solutions are scalable and integrated into business processes. The position requires mentoring a growing AI/ML team and staying updated with AI/ML advancements.
As an Applied AI/ML Engineer, you will lead the development and deployment of AI/ML models to improve customer experiences. Collaborating with data scientists and engineering teams, you will design AI solutions, oversee model development, ensure data readiness, and track AI performance using AIOps practices.
As a Senior Golang Developer, you will be responsible for building and enhancing features, creating reusable technology platforms, and supporting products in production. You will collaborate with team leads, tackle daily challenges in a dynamic environment, and explore new technologies.
As an Android Developer, you'll customize our platform to enhance the app experience, collaborate across teams, mentor engineers, and ensure high-quality delivery of Android applications while driving engineering excellence and operational readiness.
The Solution Architect cum Program Lead will design scalable and efficient solutions, lead technical teams, and oversee the complete program delivery from inception to completion. Responsibilities include collaborating with stakeholders, ensuring compliance with standards, managing risks, and improving project management processes.
The Senior React Native Developer will be responsible for creating technical documentation, designing application frameworks, and collaborating with technical teams to support mobile product features, using React Native to build Android and iOS apps.
The Senior Performance Test Engineer will lead the performance testing process, identify application and infrastructure bottlenecks, and design automated performance tests. The role involves using various performance testing tools, analyzing results, and collaborating with technical teams to ensure optimal system performance. Strong experience in JMeter and knowledge of performance testing concepts are essential.