| Hiring for Senior Machine Learning Engineer Voice (Speech & NLP) || Washington, Washington DC || Hybrid || Hybrid || 6+ Months || Super Urgent Position at Washington, DC, USA |
| Email: harsh@vizoninc.com |
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From: Harsh Goyal, Vizon Inc harsh@vizoninc.com Reply to: harsh@vizoninc.com Looking for Senior Machine Learning Engineer Voice (Speech & NLP) Must be located near to Washington, DC Job Description - linkedin || new pv || only first 2 profiles Senior Machine Learning Engineer Voice (Speech & NLP) Washington, DC || Hybrid Qualifications Bachelor s or Master s degree in Computer Science, Machine Learning, or a related field. 6+ years of experience in machine learning, natural language processing (NLP), and deep learning. Proficiency in Python, Kotlin, and Java, with experience using ML frameworks such as TensorFlow, PyTorch, and Keras. Expertise in NLP techniques, including speech recognition, text classification, named entity recognition (NER), and transformer-based models. Hands-on experience with LLMs (large language models) and integrating them into real-time, low-latency data processing systems. Strong background in cloud computing (AWS), including deploying ML models using services like SageMaker, Lambda, API Gateway, and ECS. Experience with multi-lingual NLP systems and working with diverse linguistic datasets. Demonstrated ability to research, experiment, and implement innovative ML techniques in production settings. Strong communication skills to present complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications Experience in edge AI and deploying NLP models to low-power devices. Hands-on experience with search ranking, recommendation systems, or conversational AI. Familiarity with MLOps best practices, CI/CD pipelines for ML, and monitoring ML models in production. Core Responsibilities Develop and maintain scalable, real-time data pipelines and feedback loops for training, tuning, and evaluating ML models serving production traffic. Design and optimize multi-lingual NLP models for voice query processing, including pattern matching, entity extraction, intent classification, and leveraging transformer models. Apply and fine-tune Generative AI models such as Phi, Qwen, Llama, and Gemma to enhance the capabilities of our voice platform. Build high-performance production systems capable of handling millions of daily requests, ensuring low-latency, real-time processing. Deploy and monitor machine learning models in a cloud environment (AWS), ensuring stability, reliability, and performance at scale. Collaborate with software engineers, product teams, and data scientists to define business objectives and implement production-ready AI solutions. Engage in architecture discussions, design reviews, and code reviews to ensure best practices in ML model deployment and software engineering. Continuously research and implement the latest advancements in LLMs, RAG (Retrieval-Augmented Generation) architecture, and prompt optimization. Keywords: continuous integration continuous deployment artificial intelligence machine learning Hiring for Senior Machine Learning Engineer Voice (Speech & NLP) || Washington, Washington DC || Hybrid || Hybrid || 6+ Months || Super Urgent Position harsh@vizoninc.com https://jobs.nvoids.com/job_details.jsp?id=2306921 |
| harsh@vizoninc.com View All |
| 03:55 AM 02-Apr-25 |