Senior Consultant - Data & AI
Orange Business (company site, opens in a new tab)8+ yrsGurugramRemoteDirect career pageEst. 30–45 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own delivery of data and analytics solutions, including Power BI/Microsoft Fabric dashboards, data models, ETL/ELT pipelines, and Python-based analytics or backend services.
- Identify, build, deploy, and monitor AI/ML and GenAI solutions; assess model quality, bias, and drift, and explain business impact and limitations.
- Manage database retention, sharing, and security, alongside visualization-platform operations, troubleshooting, and clear handover documentation.
Minimum Requirements
- Work Experience Required: 8+ years in data, analytics, and AI.
- Strong hands-on skills in Power BI, Microsoft Fabric, Python, Django/FastAPI, ETL, SQL/PostgreSQL, data modelling, and data warehousing.
- Practical experience with AI/ML, Generative AI, LLMs, prompt engineering, RAG, and Agentic AI; experience deploying or monitoring machine-learning models.
- Strong DevOps knowledge across GitHub/GitLab and CI/CD, Docker, Kubernetes, AWX, and Ansible; fluent English.
Ideal Candidate Profile
- A senior practitioner who can connect stakeholder requirements to working analytics, data engineering, and AI solutions, from data preparation through production monitoring.
- Strong fit for a role combining hands-on solution development with operational ownership of databases and the Power BI/Microsoft Fabric platform, including security, governance, and documentation.
- Candidates with Azure, Linux, or Dataiku experience may have an advantage; these are listed as good-to-have skills.