AI Engineer

Job Title: AI Engineer Company: Real Time Data Services Job Category: Machine Learning Roles & Responsibilities: Founded in 2010, Real Time Data Services (RTDS) is a group of companies excelling in global information technology, specializing in Cloud Computing. We empower businesses worldwide with technologically advanced solutions that streamline operations and enhance efficiency. Being a market leader, we've catered to 10,000\+ clients across the globe, ▪ Managed Cloud Hosting Services Job Responsibilities * Build and maintain Video AI APIs for video ingestion, speech\-to\-text, OCR, object detection, tracking, scene captioning, and video search. * Develop and deploy GPU\-based AI pipelines using models such as Whisper, YOLO, Qwen\-VL, and SigLIP. * Optimize inference performance and cost using TensorRT, vLLM, quantization, and batching techniques. * Build high\-performance video processing workflows using FFmpeg, NVDEC, and NVENC. * Develop automated quality evaluation frameworks for speech, vision, and multilingual AI models. * Collaborate with backend and product teams on APIs, job orchestration, storage, metering, and pricing. * Own AI solutions end\-to\-end from model selection to production deployment and optimization. To become the forefront of Tech Global Leaders in Cloud Computing by striving towards excellence in our robust products \& services, providing a competitive edge to our customers. AceCloud is a leading provider of high\-performance, affordable cloud solutions for SMBs and enterprises. Its and 24/7 human support to ensure seamless operations for its clients. Learn More: https://acecloud.ai/ Headquartered in Florida, USA, Ace Cloud Hosting is a leader in managed hosting with over 15 years of expertise in cloudbased technologies. Its services include: ❖ Managed Security Services ❖ Managed IT Services and ❖ Customer Service Department of the Year Stevie Award (2024\) Work Location: Gurugram, Haryana, India Availability: Full time

* Strong Python and PyTorch programming skills. * Hands\-on experience deploying ML models in production environments. * Experience with GPU inference optimization and model serving. * Knowledge of Computer Vision, Video Analytics, OCR, and Speech Recognition. * Experience with Docker and Linux environments. * Familiarity with TensorRT, vLLM, Triton, and Kubernetes. * Understanding of NVIDIA GPU architecture and video processing pipelines. * Experience with Indian language AI/NLP models is a plus. Qualifications * Bachelor's or Master's degree in computer science, AI, Machine Learning, or related field. * 2\+ years of experience in AI/ML engineering. * Proven experience building and scaling production\-grade AI applications. * Preference for candidates currently working in AI\-focused organizations. * Experience in Video Analytics, Speech AI, Voice AI, ML Platform, or Inference Engineering teams preferred Assessment, AWS Migration, Application \& Database Modernization as well as Data Analytic, Machine Learning ▪ Industry Experience: 15\+ years in the industry serving over 8,000 clients globally with a team of 600\+ employees ❖ Great User Experience Award by FinancesOnline (2018\) Key Skills: Machine Learning, Python, PyTorch, NLP, Computer Vision Salary: Not disclosed