Job Description

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI/ML Professionals in the following areas :

Designation: AI/ML Solution Architect 


Experience: 11–14 Years
Job Type: Full-time


We are seeking a highly skilled and experienced Solution Architect specializing in Data Science and AI to join our dynamic team. This role is crucial in designing and implementing scalable, robust, and efficient AI and data science solutions that address complex business challenges. You will work closely with stakeholders, data scientists, engineers, and product teams to translate business requirements into technical architectures and roadmaps. Your expertise will drive the successful delivery of innovative AI-powered products and services.


Responsibilities:

  • Define solution architecture across data science and GenAI initiatives.

  • Translate business requirements into technical solutions.

  • Review design, scalability, performance, and compliance.

  • Act as bridge between business, engineering, and leadership.

    • Required Skills:

  • Experience in handling delivery.

  • Proven experience architecting cloud-native AI/ML/GenAI solutions.

  • Deep understanding of LLM architecture and GenAI orchestration.

  • Knowledge of graph databases, security best practices, cost optimization.

  • Excellent client communication and stakeholder alignment skills.

    • At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

    Our Hyperlearning workplace is grounded upon four principles

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture

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