Machine Learning Engineer

Job Title: AI-ML Engineer

Location: 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 are currently hiring for an AI-ML Engineer position on behalf of a leading client in the AI space. The role involves leading the design and deployment of intelligent systems that power innovative products, including a personalized learning and assessment platform and an AI meeting-intelligence assistant. If you have deep expertise in machine learning, large language models (LLMs), agentic AI, and scalable system design, this opportunity allows you to build end-to-end pipelines that transform how humans and machines co-create knowledge.

This is a good chance to work with a visionary client driving the future of AI-powered solutions.

As an 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 cases
• Opportunity to mentor junior engineers and influence system architecture.
• Contribute to products that redefine human-AI collaboration in personalized learning and meeting intelligence.