Analytical AI Engineer - II
Bristol Myers Squibb (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain analytical and machine learning models for forecasting, classification, regression, and anomaly detection under senior guidance.
- Develop and maintain analytical dashboards and semantic layers/knowledge graphs to enable consistent metrics and AI agent consumption.
- Apply Generative AI and LLM-based techniques to automate insight generation and make analytics outputs consumable by AI solutions.
Minimum Requirements
- Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 3+ years of progressive experience in analytics, data science, or applied AI/ML roles.
- Proficiency in Python, SQL, PySpark, and experience with ML libraries (Scikit-learn, PyTorch, TensorFlow/Keras).
- Experience with Databricks for data pipeline development, MLflow for experiment tracking, and building analytical dashboards and semantic layers.
Ideal Candidate Profile
- Experience working directly with business stakeholders to translate questions into statistical hypotheses and measurable insights.
- Comfortable operating within Agile/Scrum cross-functional teams and using modern software engineering practices including CI/CD and version control (Git).
- Exposure to Generative AI, LLM platforms, semantic modeling technologies (RDF, OWL, Neo4j), and cloud platforms (AWS, Azure, GCP) is advantageous.