Analytical AI Engineer - II
Bristol Myers Squibb (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain analytical and machine learning models (forecasting, classification, regression, anomaly detection) and data/ML pipelines from extraction to deployment.
- Develop and maintain analytical dashboards and semantic layers/knowledge graphs to support consistent metrics and enable AI Agent/GenAI applications access.
- Apply Generative AI and LLM-based techniques to automate insight generation and make semantic assets consumable by downstream AI applications.
Minimum Requirements
- Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 3+ years of experience in analytics, data science, or applied AI/ML roles.
- Experience with Databricks and PySpark for data pipeline and distributed data processing.
- Proficient in Python, SQL, Git; experience with ML libraries (Scikit-learn, PyTorch, TensorFlow/Keras) and MLflow or equivalent for experiment tracking.
Ideal Candidate Profile
- Experienced in translating business questions into analytical modeling and validation under senior guidance.
- Skilled in building and maintaining semantic layers, ontologies, and knowledge graphs for AI and GenAI consumption.
- Comfortable working within Agile/Scrum teams, with strong software engineering practices including CI/CD workflows and use of AI coding assistants.