AI / ML Engineer

AI / ML Engineer (Mtech or PhD) – LLMs, RAG, Reinforcement Learning

Position : AI / ML Engineer (Mid-Level)

Experience : Does not required Location : Noida, UP

Employment Type : Full-time

Studies : Mtech or PhD

About the Role

We are building enterprise-grade AI / ML solutions including SLMs, LLMs, RAG- based knowledge systems, reinforcement learning, and agentic AI, As a Mid-level AI / ML Engineer, you will design, train, and deploy machine learning models, collaborate with our product and engineering teams, and ensure scalable integration of AI models into real-world applications. This role is ideal for someone with a strong hands-on background in NLP, deep learning, and reinforcement learning, who is eager to grow by working on cutting-edge AI projects at scale.

Key Responsibilities

• Design, train, and fine-tune ML / DL models (with focus on transformers, SLMs, LLMs, and recommender systems).
• Implement RAG pipelines using vector databases (Pinecone, Weaviate, FAISS) and frameworks like LangChain or LlamaIndex.
• Contribute to LLM fine-tuning using LoRA, QLoRA, and PEFT techniques.
• Work on reinforcement learning (RL / RLHF) for optimizing LLM responses.
• Build data preprocessing pipelines for structured and unstructured datasets.
• Collaborate with backend engineers to expose models as APIs using FastAPI / Flask.
• Ensure scalable deployment using Docker, Kubernetes, AWS / GCP / Azure ML services.
• Monitor and optimize model performance (latency, accuracy, hallucination rates).
• Use MLflow / Weights & Biases for experiment tracking and versioning.
• Stay updated with the latest research papers and open-source tools in AI / ML.
• Contribute to code reviews, technical documentation, and best practices.

Required Skills & Qualifications

Soft Skills