AI / ML Engineer

22 hours ago

uttar pradesh, India Vellstone Full time

Job Title: Senior AI -ML EngineerLocation: Noida / Onsite Experience: 2–4 years Qualification: M.Tech or equivalent in AI / Machine Learning / Computer Science (IIT/NIT preferred) Work Schedule: 5 -day work week We're seeking a Senior AI -ML Engineer to lead the design and deployment of intelligent systems powering the company's flagship products: a personalized learning and assessment platform and an AI meeting -intelligence assistant. If you have deep expertise in machine learning, LLMs, agentic AI, and scalable system design, this role offers the chance to build end -to -end pipelines that transform how humans and machines co -create knowledge. As the Senior AI -ML Engineer, your responsibilities would be:Design and deploy AI models for NLP, speech, and multimodal tasks using TensorFlow / PyTorch.Develop and scale LLM pipelines using LangChain, AutoGen, and RAG architectures for multilingual summarization, Q&A, and personalized learning.Build and optimize APIs and services in Python (Flask / FastAPI) integrated with PostgreSQL and AWS.Collaborate with product and DevOps teams to ensure smooth CI/CD, containerization, and scalable deployment using Docker & Kubernetes.Enhance the adaptive learning pipeline with agentic reasoning, dynamic feedback loops, and user personalization logic.Improve the meeting -intelligence system by integrating advanced speech -to -text, biometric identification, and decision -tagging models.Research and implement new techniques in AI model compression, fine -tuning, and multimodal fusion (audio -text -image).Mentor junior AI engineers and contribute to code reviews, system architecture, and documentation.Requirements 2–4 years of applied ML experience building real -world products.Strong proficiency in Python, TensorFlow, PyTorch, and Scikit -learn. Hands -on with LangChain / LlamaIndex / AutoGen, RAG pipelines, and LLM integration (OpenAI, Gemini, Hugging Face). Proven experience with NLP, Speech Recognition, and Time -Series Forecasting. Solid understanding of MLOps / LLMOps (Docker, Kubernetes, CI/CD, AWS/GCP). Familiarity with PostgreSQL, REST APIs, and Flask / FastAPI frameworks. M.Tech or equivalent in AI / Machine Learning / Computer Science (IIT/NIT preferred). Benefits Play a key role in designing and deploying intelligent systems for flagship, world -built products.Work with cutting -edge technologies like LLMs, agentic AI, RAG architectures, and multimodal fusion.Be instrumental in creating a culturally intelligent system that learns, adapts, and acts with purpose across diverse use casesOpportunity to mentor junior engineers and influence system architecture.Contribute to products that redefine human -AI collaboration in personalized learning and meeting intelligence.

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