Ai Engineer

4 weeks ago

Bengaluru, India Whatjobs IN C2 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 &

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