We are seeking a highly experienced Asterisk Developer to contribute the development and maintenance of our VoIP and cloud-based telephony infrastructure. This role requires deep expertise in Asterisk PBX, SIP protocols, and hands-on experience with Python development and Cloud platforms. You'll play a pivotal role in building scalable, secure, and high-performance communication systems that integrate seamlessly with modern cloud services. Responsibilities: Design, develop, and maintain Asteris.

Summary Experienced Software Test Engineer with strong expertise in embedded systems testing, test automation, and Linux-based environments. Responsible for planning, developing, and executing software and system-level tests, validating customer-specific configurations, and supporting quality assurance activities for aviation-related products and platforms. Key Skills Embedded Systems Testing, Test Planning, Test Automation, Linux, Python, Bash, Test Case Development, Test Documentation, System.

Scope: As a Sr. Software Engineer, you serve as a specialist in the engineering team that supports the team with following responsibilities. Design, architect, implement and help operate the Machine Learning platform by Develop and gain insight in the application architecture. Distill an abstract architecture into concrete design and influence the implementation. Observing inefficiencies, both in cost and reliability, of existing processes Researching alternative solutions using custom or exist.

About the team An Applied Scientist has a masters or PhD and is able to work with complex big data across multiple databases and sources, stitching together a cleaner version of data that is the foundation for analysis. Often times, Applied Scientists have to understand and research the intricacies of the data itself before using it to answer broader questions. More advanced coding and machine learning tools are usually required. Applied Scientists and Economists sometimes have to work together.

Business Area: Engineering Seniority Level: Associate Job Description: Cloudera is seeking a talented Software Engineer to join our rapidly growing machine learning platform team. You'll play a key role in developing and enhancing Cloudera's next-generation AI & ML platform, enabling enterprises to build, deploy, and scale Generative AI applications using foundation models with their own data at scale. This role requires a collaborative spirit and close partnership with front-end engineers, dat.

About Us KlearNow.AI is on a mission to futurize global trade. Our patented AI and machine learning platform digitizes and contextualizes unstructured trade documents to unlock real-time shipment visibility, drive smart analytics, and provide critical business intelligence-without the hassle of complex integrations. We empower supply chains to move faster, work smarter, and make data-driven decisions with confidence. With operations in the U.S., Canada, U.K., Spain, and the Netherlands-and aggr.

Job Title: Data Analytics Engineer Location: Bangalore, KA Engagement: Fulltime About AIIR Products: AIIR focuses exclusively on delivering innovative, sustainable systems that leverage advanced machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers greater energy efficiency compared to traditional systems, intelligently adapting to environmental conditions and occupant needs in real time. AIIR is committed to creating healthier, more comfortable living sp.

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group's diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and cre.

About Position: We are seeking an experienced AWS SageMaker Engineer to design and build scalable MLOps platforms and machine learning pipelines on AWS. The role focuses on enabling end-to-end ML lifecycle management including model development, deployment, monitoring, and automation. The ideal candidate will have strong expertise in SageMaker, cloud-native architecture, and DevOps practices, along with the ability to collaborate with data science teams to productionize ML use cases efficiently.

Job Family : Data Science & Analysis (India) Travel Required : Up to 10% Clearance Required : None What You Will Do 1-5 years of experience in software engineering and production-quality Agentic AI Systems. Experience of generating code using prompts and navigating fluidly through generated code using GitHub Copilot or OpenAI Codex or similar platforms Design, build, evaluate, deploy, and maintain AI-enabled and agentic applications for enterprise use cases. Develop backend services and orchest.