Job Description

10 - 14 Years
1 Opening
Bengaluru

Role description

Key Responsibilities:

Design, develop, and deploy AI/ML models using Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services, OpenAI on Azure) and have experience on Agentic Frameworks. Collaborate with stakeholders to translate business challenges into AI-based solutions. Lead end-to-end AI projects: from data collection and preprocessing to model training, evaluation, and deployment. Integrate open-source frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) into Microsoft cloud environments. Optimize AI pipelines using MLOps tools (e.g., Azure ML Pipelines, GitHub Actions, MLflow). Develop data science models for predictive analytics, NLP, computer vision, or generative AI applications. Champion responsible AI practices, data governance, model fairness, and transparency. Mentor junior data scientists and engineers; conduct code reviews and knowledge-sharing sessions.

Skills

Required Qualifications:

10+ years

of experience in AI, machine learning, or data science roles. Strong experience with

Microsoft AI/ML stack

: Azure Machine Learning, Azure Cognitive Services, Power BI with AI, Azure Synapse Analytics. Proficiency in open-source AI frameworks:

TensorFlow, PyTorch, Hugging Face, Scikit-learn

. Strong programming skills in

Python

(preferred), R, or C#. Deep understanding of

data modeling

,

statistical analysis

, and

algorithm development

. Experience with

cloud-native AI deployments

and

containerization (Docker, Kubernetes)

. Hands-on knowledge of

MLOps

, CI/CD pipelines, and AI lifecycle management. Experience working in agile and cross-functional teams. Excellent communication, leadership, and presentation skills.

Preferred Qualifications:

Microsoft certifications such as: + Azure AI Engineer Associate
+ Azure Data Scientist Associate
+ Azure Solutions Architect Expert

Experience integrating AI into Microsoft Power Platform and Dynamics 365. Exposure to generative AI (e.g., OpenAI, GPT models on Azure, LLM fine-tuning). Experience in multi-cloud or hybrid-cloud AI architecture. Familiarity with open-source data versioning and pipeline tools (e.g., DVC, Kedro, Prefect).

About Grant Thornton INDUS

'Grant Thornton INDUS' comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn't just what we do - it's how we do it. We support and enable the firm's purpose of making business more personal and building trust into every result. We're collaborators - obsessed with quality and ready for anything - who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton's access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India - Bengaluru and Kolkata