Sr Software Development Engineer
Core
Designing, developing, and operationalizing enterprise-scale Machine Learning and Generative AI solutions on Google Cloud Platform to deliver forecasting, anomaly detection, and intelligent automation.
Role type
Senior Machine Learning Engineer (MLOps & GenAI)
Builds
AI-enabled capabilities including forecasting, anomaly detection, intelligent automation, and executive decision-support solutions.
Domain
Healthcare / Financial Analytics / Generative AI
Deliverable
production ML models
Required skills
TensorFlow, PyTorch, Scikit-Learn, XGBoost, Time-Series Forecasting, NLP & LLM Frameworks, Feature Engineering, Model Optimization, GCP, MLOps, Software Architecture, Code Review, Test Execution
Preferred skills
SAP S/4HANA Finance data, FP&A forecasting, Financial analytics, Enterprise semantic models, KPI engineering, AI-enabled executive reporting platforms, Enterprise data governance
Technologies
Google Cloud Platform (GCP), TensorFlow, PyTorch, Scikit-Learn, XGBoost
Responsibilities
Design technical architecture and infrastructure for digital solutions; Write code and develop software components; Collaborate with stakeholders on architectural decisions; Integrate software components for seamless communication; Build predictive analytics and GenAI/NLP solutions; Engineer reusable feature stores and pipelines; Develop AI-ready semantic datasets.
Seniority
Senior, hands-on IC
