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 any
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.