Job DescriptionJob Title: Senior 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'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 cases
Opportunity to mentor junior engineers and influence system architecture.
Contribute to products that redefine human-AI collaboration in personalized learning and meeting intelligence.
RequirementsStrong skills in SQL and PL/SQL, with experience in tuning slow queries.
Proficiency in analyzing execution plans using tools like EXPLAIN, ANALYZE, and auto-explain.
Expertise in indexing strategies, VACUUM/ANALYZE, and table partitioning.
Skill in using monitoring views such as pg_stat statements, pg_stat activity, and pg_stat user tables.
Knowledge of key PostgreSQL configuration parameters like work_mem and shared_buffers.
Experience with connection pooling tools (e.g., PgBouncer) and managing locks and concurrency.
Familiarity with schema optimization, normalization, and scalable data models.
Comfort with PostgreSQL on AWS RDS and managing read replicas.