AI Engineer

Role : AI Engineer

Experience- 3-5 years

Location- Mumbai / Gurugram / Bangalore / Coimbatore

Looking for candidates who can join us in Immediate to 15 days

Job Responsibility

esSolve complex business problems by applying Large Language Model (LLM), Natural Language Processing (NLP), Computer Vision (CV), and Machine Learning (ML) techniqu

esIntegrate AI algorithms into multiple product and solution offerin

gsConduct a systematic study of AI research and industry advancements to apply insights to real-world business proble

msResearch and advance the field of Generative AI, staying up to date with cutting-edge techniques and improving existing mode

lsDevelop new models or optimize existing ones for practical applicatio

nsBuild cognitive capabilities within multiple products and solution offerin

gsEnvisage next-generation AI challenges and recommend solutions to address th

emFacilitate the IP generation process and contribute toward the patenting of AI innovatio

nsAdvance the field of Generative AI by researching state-of-the-art models (e.g., Transformers, BERT, GPT, T5,Gemini) and applying them to real-world use cas

esOptimize AI models by working on word embeddings, attention mechanisms, and encoder-decoder architectur

esImprove prompting strategies by deeply understanding LLM internals, rather than just applying surface-level prompt engineeri

ngCollaborate with multi-functional teams to integrate AI-driven solutions into business applicatio

ns

Requirements & Qualifica

tionB.E / B.TECH / MS / M.TECH

/ MCAYears of Experience : 3-5 y

ears

Skills & Compet

encies

Core AI & ML Exp

erties.Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision,

and NLPKnowledge of Generative AI models and Prompt Engi

neeringAt least one production implementation of a GenAI

projectKnowledge of the end-to-end deployment process of an AI

projectHands-on Python programming (minimum 4

years)Proficiency in tensorflow or

pytorch

Deep Learning Fund

amentalsNeural Networks – CNNs, RNNs, Transformers, GANs, Attention Mechanisms & Self-Attention (as used in Transformers like BERT &a

mp; GPT)Word Embeddings & Vector Representations (e.g., Word2Vec, Fast Text, BERT,

GPT ,T5)LLM Fine-Tuning & Transfer Learning, RAG-based Archi

tectures

AI Model Optimization & En

gineeringProficiency in PyTorch or TensorFlow for training and deploying deep learni

ng modelsExperience with Vector Databases (e.g., FAISS, Pinecone) and

LangChainGood understanding with cloud AI platforms like AWS, A

zure, GCPUnderstanding of LLMOps & AI Model D

eployment

Preferred Skills (Bo

nus Points)Experien

ce in MLOpsPrevious research publications in peer-reviewed AI / ML journals or top conferences and pat

ents if a ny

Skills : - Artificial Intelligence, Machine Learning, Deep learning, Computer Vision, Natural Language Processing (NLP). Knowledge of various Generative AI model and Prompt Engineering. Hand-on coding skills in Python, at least 4 years python experience. (Preferred) Strong

NLP skills.