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Technical Architect @ Capgemini

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Capgemini  Technical Architect

Job Description

Capgemini is hiring for Technical Architect


Experience Range: 13 to 18 years

Location: Pan India

Work Mode: Hybrid


Job Description:

The Technical Architect will be responsible for designing, developing, and implementing systems and solutions that leverage generative models. This role requires 15+ years of deep understanding in machine learning, neural networks, and natural language processing. The ideal candidate will have a strong technical background, experience with AI frameworks, and the ability to lead cross-functional teams to deliver innovative AI solutions.

Key Responsibilities:

  • Design and architect scalable and efficient generative AI models and systems.
  • Architect the integration of client applications within overall solution frameworks.
  • Collaborate with business analysts and stakeholders to understand requirements and translate them into architectural designs.
  • Develop and implement generative AI algorithms for various applications, including text generation, image synthesis, and more.
  • Collaborate with data scientists, machine learning engineers, Integration engineers, UI Developers and software developers to integrate AI models into production environments.
  • Lead the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements.
  • Stay updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI and machine learning, and apply them to improve existing systems and processes.
  • Provide technical guidance and mentorship to team members and stakeholders.
  • Conduct research and experiments to push the boundaries of generative AI capabilities.
  • Ensure compliance with data privacy and security regulations in all AI projects.

Qualifications and Skills:

  • Master's or PhD degree Computer Science, Engineering, Mathematics, or a related field or a related field.
  • Proven experience as a Technical Architect with expertise in Banking processes, Gen AI, and AI/ML.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
  • . Familiarity with Agile methodologies
  • Proven track record of designing and deploying AI systems in a production environment.
  • Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers).
  • Excellent problem-solving skills and the ability to think critically and creatively.
  • Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
  • Experience with large language models (e.g., GPT-3, GPT-4) and their applications.
  • Knowledge of reinforcement learning and its applications in generative AI.
  • Experience in developing AI solutions for specific industries e.g., healthcare, finance - P2P, O2C, Banking, IFAO, IFSO, Logistics, entertainment etc.,
  • Contributions to AI research publications or open-source projects.
  • Preferred Qualifications:
  • In-depth knowledge of P2P software solutions and integration strategies.
  • Experience in developing and implementing AI/ML-driven solutions at an enterprise level.
  • Excellent architecture, ideation and execution skills.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Noida, Gurugram

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Keyskills:   Gen Ai Technical architect AIml Python Healthcare Banking process

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Capgemini

Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran acquired by Capgemini in 2020 - and Capgemini's digital manufacturing expertise. With broad industry knowledge and cutting-edge ...