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Infosys

Generative AI Engineer

Infosys

Pune, Maharashtra, India · पूरा समय

अप्लाय करने वाले प्रथम बनिए

अनुभव
5+ वर्ष
वेतन
उद्घाटन
1
की तैनाती
6 पहले
कार्य मोड
कार्यालय में हूँ
शिक्षा
बी.टेक
पात्रता
Applicants must hold a B.Sc, B.C.A., B.Tech, or B.E. degree in any specialization to be eligible.
फिर शुरू करना
आवेदन करना आवश्यक है

आप कहाँ काम करेंगे

नौकरी का विवरण

About the Company

Infosys is a global frontrunner in next-generation digital services and consulting, with over 300,000 employees dedicated to enhancing human potential and creating new opportunities worldwide. Boasting over 40 years of expertise in global enterprise systems management, Infosys supports clients across 50+ countries in their cloud-powered digital transformation journeys. The company emphasizes AI-enabled core capabilities, agile scalable digital solutions, and continual improvement through ongoing digital skills and innovation transfer. Infosys also fosters a sustainable and inclusive workplace culture with a focus on governance and diversity.

Role Responsibilities

  • Design and develop sophisticated Generative AI models aimed at addressing challenging problems.
  • Work collaboratively with various teams to embed AI solutions within existing infrastructure.
  • Engage in continuous research to remain current with cutting-edge NLP and AI advancements.
  • Create efficient and scalable AI algorithms to improve product features.
  • Provide guidance and mentor junior colleagues to promote knowledge sharing and learning.

Qualifications

Minimum: Hold a Bachelor's degree in Technology (B.Tech) or a related discipline and possess over five years of experience in Generative AI, NLP, and Artificial Intelligence with a proven history of deploying AI models successfully in production.

Preferred: Effective communication abilities to liaise with stakeholders, experience working with AI tools like TensorFlow or PyTorch, aptitude for multitasking and independent work, strong analytical and proactive problem-solving skills.

Additional Skills

Familiarity with Machine Learning, Data Analysis, Deep Learning, Python programming, and Cloud Computing is advantageous.

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