Agentic AI Developer - Manager

About Grant Thornton INDUS :

Grant Thornton INDUS is the in-house offshore center for Grant Thornton US- a member firm of Grant Thornton International, with offices in Bangalore and Kolkata. Our team of over 2,400 professionals specializes in Tax, Audit, Advisory, Operations, and Enabling functions, delivering exceptional client service, and driving excellence across all domains. We are proud to have been recognized as a Great Place to Work® for the last two consecutive years, reflecting our commitment to building a high-trust, high-performance culture. At Grant Thornton INDUS, our people-centric culture is rooted in empowering individuals, bold leadership, and a commitment to providing distinctive client experiences. We foster a transparent, competitive, and performance-driven environment where professionals are given opportunities to contribute to meaningful and impactful initiatives. Our young and dynamic workforce not only excels in delivering business outcomes but also inspires and gives back to the community through generous and impactful service initiatives.

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).

Interested candidates can share their CVs to