OPEN ROLE — VIA SYMPHONI HR

Senior Associate, Azure AI.

bangaloreHybrid6–7 yearsPosted 2026-08-26

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a leading global professional services firm, renowned for its expertise in accounting and finance. They are committed to driving digital transformation for their clients through innovative technology solutions. This organization fosters a collaborative and dynamic work environment, encouraging continuous learning and professional growth.

About the role.

We are seeking a highly skilled and experienced Senior Associate, Azure AI to join a dynamic team. In this role, you will be instrumental in designing, developing, and deploying cutting-edge AI solutions on the Microsoft Azure platform. You will contribute significantly to clients' digital transformation journeys by leveraging your expertise in AI/ML.

What you will do.

  • Design and implement scalable AI/ML solutions using Azure AI services
  • Develop and deploy machine learning models, including data preprocessing, model training, and evaluation
  • Integrate AI solutions with existing enterprise systems and applications
  • Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions
  • Provide technical guidance and mentorship to junior team members
  • Stay updated with the latest advancements in Azure AI and machine learning technologies

What you bring.

  • 6-7 years of experience in AI/ML development, with a strong focus on Azure
  • Proficiency in Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks)
  • Solid understanding of machine learning algorithms, data science principles, and MLOps practices
  • Experience with data manipulation and analysis using SQL and NoSQL databases
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
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