Fifty Five Technologies

About the role

Fifty Five Technologies’ Data Science team drives enterprise data transformation, building AI‑enabled data quality and metadata solutions. The Sr. Data Scientist designs and deploys LLM‑powered pipelines for semantic classification, anomaly detection, and automated data quality monitoring, collaborating with governance and engineering teams to operationalize AI/ML across client platforms. The role is based in Gurgaon/Indore/Jaipur with a hybrid model, requiring onsite work in Abu Dhabi for 3‑4 months.

What you’ll do

• Develop AI‑powered solutions using LLMs for metadata enrichment and data quality automation
• Design, build, and optimise RAG pipelines with enterprise metadata and rule libraries
• Build scalable Python and SQL pipelines for data profiling, onboarding, and monitoring
• Implement Human‑in‑the‑Loop workflows for governance and auditability
• Collaborate with business, governance, and engineering teams to operationalise AI/ML solutions
• Evaluate model performance and continuously improve AI/ML workflows
• Support deployment, monitoring, and maintenance of production‑grade AI/ML solutions
• Create technical documentation and communicate insights to stakeholders

What you’ll bring

• 5–9 years experience in Data Science or AI/ML
• Strong Python and SQL programming
• Hands‑on LLM and RAG architecture expertise
• Experience with Scikit‑learn, LangChain, or LlamaIndex
• Knowledge of supervised and unsupervised ML techniques (XGBoost, Random Forest, Clustering, PCA, Isolation Forest, Anomaly Detection)
• Experience building scalable AI/ML pipelines
• Understanding of metadata management and data quality frameworks
• Familiarity with Azure, AWS, or GCP

Skills