About the job
About The Opportunity We are hiring within the technology services and enterprise software sector, focused on data science, AI/ML-driven product engineering, and digital transformation for customers across finance, retail, and SaaS domains. This role sits at the intersection of advanced analytics, production ML, and business impact delivery. Orbion Infotech is seeking an experienced Senior Data Scientist to join our Bangalore on-site team. The ideal candidate will lead end-to-end analytics and ML projects—transforming data into production-grade models that deliver measurable outcomes. Role & Responsibilities • Lead design, development and production deployment of predictive and prescriptive ML models end-to-end for business use-cases. • Translate business problems into data-driven solutions: feature engineering, model selection, evaluation and A/B testing strategies. • Build scalable data pipelines and collaborate with engineering teams to operationalise models (CI/CD, monitoring, retraining). • Conduct model validation, performance tuning, bias analysis and implement robust model governance and observability. • Mentor junior data scientists, drive best-practice playbooks for code quality, reproducibility and experiment tracking. • Partner with product and stakeholder teams to prioritize ML initiatives and translate model outputs into actionable business KPIs.
Requirements
- Python
- SQL
- scikit-learn
- TensorFlow
- PyTorch
- Machine Learning
- Deep Learning
- Model Deployment
Qualifications
- Bachelor's or Master’s degree in Computer Science
- Statistics
- Mathematics
- Engineering or equivalent practical experience
Preferred Technologies
- Python
- SQL
- scikit-learn
- TensorFlow
- PyTorch
- Machine Learning
- Deep Learning
- Model Deployment
Benefits
- Opportunity to lead cross-functional ML initiatives
- hands-on mentorship
- competitive compensation
- learning stipend
- support for conferences and certifications
About the company
Orbion Infotech is a technology services company focused on data science, AI/ML-driven product engineering, and digital transformation for customers across various sectors.
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