11 Job openings found

Responsibilities Create and maintain automated test scenarios to test multi-tier web-based applications. Create and execute positive and negative test cases and test cases involving data input permutations. Understanding of working with Automation framework using BDD/TDD. Triage failures, do root-cause analysis, define, and implement corrective measures. Adhere to team priorities and work well in an integrated ...

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Analyse the critical performance issue on live web application and reported to the Team. Document test results including response times, CPU utilization, and memory utilization, and sync with the responsible team. Core Skills: 5+ yrs. of exp in ...

Key Responsibilities:   Planned, manage and execute flights for aerial data acquisition from customer fields using state-of-art Industrial UAVs. Coordinate with the Development team in making all flights compliant with DGCA Guidelines. Plan and execute flight test plans for new software features, electronics, sensors, and payloads. Perform hands-on mechanical and electrical integration of new hardware ...

Key Responsibility : Key Responsibilities : You will be working with the core R&D team which drives the computer vision and imageprocessing development. Build a deep learning model for our data and object detection on large-scale images. Design and implement real-time algorithms for object detection, classification, tracking, and segmentation Coordinate and communicate within computer vision, ...

Responsibilities: Production pipeline development/deployment. DevOps tools. Automation/Orchestration. Release management. Model Testing. Environment Security. Performance Testing. Data governance. Design the data pipelines and engineering infrastructure Take offline models data scientists to build and turn them into a real machine learning production system. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems. Apply software engineering ...

Responsibilities :   Good Knowledge in products required Complete knowledge of Building material Lab and field testing. Reporting to Technical Manager/Lab Manager. Responsible to perform lab/site testing activities. Responsible for arranging testing activities of the Mechanical Laboratory. Storage & safe keeping of post-test samples. Maintenance of calibration of equipment. Control of relevant management system documents and maintain requisite ...

Responsibilities : Ability to effectively communicate (verbal and written) and present information clearly to both technical and non-technical audiences. Prepare SQL queries to update data in the database. Offer alternative solutions to software issues/questions where appropriate to prevent disruption in client activities. Fetching customer data and reports from SQL Server/MySQL.   Required Skills : Database skills (MySql, ...

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Responsible for implementing, automating, deploying, monitoring, troubleshooting and administering our application's infrastructure & designing Databases. The candidate will take responsibility for the availability, performance, infrastructure security and scalability of our applications. Ability to translate business requirements into ...

Responsibilities :   Collect and analyze technical requirements. Understand the design and architecture of our M365 apps development. Design and develop high-productivity M365 apps that leverage Add-In development APIs to the full extent. Integration of apps with Legal platform. Integration of apps with other Microsoft services like Azure AD, authentication flows, and Azure services. Performance optimization of ...

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Structure and design the data landscape of the organization. Look further on the following topics: Data availability: Connecting, moving, and generating datasets for consumption. Transformation: Feature creation, data cleansing, re-expression. Visualization: Exploratory data analysis, intuitive presentation of findings. Dashboarding: Guiding ...