Ai engineer

4 weeks ago

Bengaluru, India C5i Full time

Role: AI EngineerExperience- 3-5 yearsLocation- Mumbai/Gurugram/Bangalore/CoimbatoreLooking for candidates who can join us in Immediate to 15 daysJob Responsibility- es Solve complex business problems by applying Large Language Model (LLM), Natural Language Processing (NLP), Computer Vision (CV), and Machine Learning (ML) techniqu- es Integrate AI algorithms into multiple product and solution offerin- gs Conduct a systematic study of AI research and industry advancements to apply insights to real-world business proble- ms Research and advance the field of Generative AI, staying up to date with cutting-edge techniques and improving existing mode- ls Develop new models or optimize existing ones for practical applicatio- ns Build cognitive capabilities within multiple products and solution offerin- gs Envisage next-generation AI challenges and recommend solutions to address th- em Facilitate the IP generation process and contribute toward the patenting of AI innovatio- ns Advance 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- es Optimize AI models by working on word embeddings, attention mechanisms, and encoder-decoder architectur- es Improve prompting strategies by deeply understanding LLM internals, rather than just applying surface-level prompt engineeri- ng Collaborate with multi-functional teams to integrate AI-driven solutions into business applicationsRequirements & Qualification B. E/B. TECH/MS/M. TECH/MCAYears of Experience: 3-5 yearsSkills & CompetenciesCore AI & ML Exp- erties. Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision,- and NLPKnowledge of Generative AI models and Prompt Engi- neering At least one production implementation of a Gen AI- project Knowledge of the end-to-end deployment process of an AI- project Hands-on Python programming (minimum 4- years)Proficiency in tensorflow orpytorchDeep Learning Fund- amentals Neural Networks – CNNs, RNNs, Transformers, GANs, Attention Mechanisms & Self-Attention (as used in Transformers like BERT &a- mp; GPT)Word Embeddings & Vector Representations (e.g., Word2 Vec, Fast Text, BERT,- GPT , T5)LLM Fine-Tuning &

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