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Generative AI Engineer Job Opening In Bengaluru – Now Hiring Sonata Software


Job description

Sonata Software Overview

In today's market, there is a unique duality in technology adoption.

On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers.

As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Plat formation™ playbook.

In addition, we bring agility and systems thinking to accelerate time to market for our clients.

Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ.

We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space.

Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.


Job Summary

We are seeking a highly skilled and motivated AI Solutions Engineer with a strong background in designing and developing AI-driven applications.

The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and deployment pipelines, and will be passionate about building scalable and intelligent systems.


Key Responsibilities

  • Design and develop robust AI solutions using Python, TensorFlow, and PyTorch.
  • Build and maintain AI pipelines for training, evaluation, and deployment.
  • Implement Retrieval Augmented Generation (RAG) and prompt engineering techniques to enhance model performance.
  • Work with AI Foundry, Fabric Data Agents, or Copilot Studio to integrate intelligent capabilities into enterprise systems.
  • Deploy models and services using Azure ML Studio, Docker, and CI/CD pipelines.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Ensure scalability, reliability, and performance of AI systems in production environments.


Required Qualifications

  • 3+ years of professional experience in AI solution development.
  • Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
  • Experience designing end-to-end AI pipelines including data ingestion, model training, evaluation, and deployment.
  • Familiarity with RAG architecture and prompt engineering.
  • Hands-on experience with at least one of the following: AI Foundry, Fabric Data Agents, or Copilot Studio.
  • Strong understanding of cloud platforms and DevOps practices, especially Azure ML Studio, Docker, and CI/CD.


Preferred Skills

  • Experience working in agile development environments.
  • Knowledge of MLOps practices and tools.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.


Regards

Mizbha Firdose

mizbhafirdose.m@sonata-software.com

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Generative AI Potential: Insight & Career Growth Guide


Real-time Generative AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Generative AI in Bengaluru, India, highlighting market share and opportunities for professionals in Generative AI roles.

114877 Jobs in India
114877
4978 Jobs in Bengaluru
4978
Download Generative Ai Jobs Trends in Bengaluru and India

Are You Looking for Generative AI Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sonata Software adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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6. Respect for human rights

7. Obeying India laws and regulations

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Interview Tips for Generative AI Engineer Job Success

Sonata Software interview tips for Generative AI Engineer

Here are some tips to help you prepare for and ace your Generative AI Engineer job interview:

Before the Interview:

Research: Learn about the Sonata Software's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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