AI Engineer

6 days ago


bangalore district, India C5i Full time

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.



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