Job Description
Must have Skills:
Ability to frame business problems into analytical use cases.
Excellent communication for stakeholder management.
Strong grounding in AI governance, ethics, and risk.
Gen AI, Machine Learning
NLP models [Hugging face, transformers, LLMs (BERT, GPT), Custom Chatbot, NLU, NLG]
Programming skills with Python, SQL
Having Advisory/Lead role exp with Strong Analytical skills
Good To Have
Cloud Knowledge - Azure/AWS/GCP
Kubernetes
Linux
Tableau/Thoughtspot
Supply Chain experience
Roles & Responsibilities
Leading AI Transformation initiatives across supply chain with Python, AI/ML, Gen AI,
Translate business challenges into AI‑powered solutions.
Define AI adoption roadmaps, enterprise AI workflows, and operating models.
Drive responsible AI governance, bias checks, model validation protocols, and regulatory compliance.
Work with stakeholders in IT, product, business, and compliance teams.
Educate executives and staff on AI capabilities and limitations.
Drive change management and organizational enablement for AI transformation
Coordinate in Collect, clean, and analyze structured and unstructured data using
Python (pandas as NumPy), SQL and databases like Snowflake
Perform Exploratory data analysis (EDA) and communicate insights through
visualizations and dashboards
Build and deploy Machine learning/Deep learning models for predictive analysis,
NLP tasks, and Gen AI use using libraries such as scikit-learn, PyTorch, HuggingFace etc.,
Coordinate and Implement solutions such as conversational bots, summarization
Deploy models using FAST API/Docker and automate pipelines on Google Cloud.
Ensure version control and scalability through cloud-native solutions
Work cross-functionally to align tech solutions with business needs
Work on POCs and research, prototyping and GenAI experiments
Ensure to Maintain clear documentation and support reproducibility in projects
Salary Range: $38,000-$140,000 a year
