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Engineering Lead _ Gen AI

Engineering Lead _ Gen AI

ZSBengaluru, Karnataka, India
12 hours ago
Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Architecture & Engineering Lead – Gen AI

ZS’s India Capability & Expertise Center (CEC) houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.

ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.

Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.

What you’ll bring :

  • Develop and deploy end to end AI solutions across various domains
  • Design and implement deep learning models including Transformers
  • Utilize large language models for diverse applications
  • Work with databases and vector databases to manage and analyze data
  • Leverage frameworks and packages for AI solution development
  • Implement AI solutions on cloud platforms like Azure and AWS
  • Develop containerized applications using Docker and other containerization tools
  • Automate and streamline processes using various tools and technologies
  • Contribute to projects involving AI driven solutions for enhanced efficiency and performance

How you’ll grow :

  • Bachelor’s degree in computer science, Engineering, or a related field
  • 8+ years of experience in AI and machine learning, specifically in computer vision, generative AI, and NLP
  • Proficiency in programming languages such as Python and C
  • Strong experience with deep learning and large language models
  • Familiarity with various databases and vector databases
  • Hands on experience with cloud services and containerization
  • Excellent problem-solving skills and ability to work in a team environment
  • Strong communication skills to interact with stakeholders and team members effectively
  • Hybrid working model :

    ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

    Perks & Benefits :

    ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

    We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients / ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

    Travel :

    Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

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    Ai Engineering Lead • Bengaluru, Karnataka, India

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