We are looking for a highly skilled Data Architect – AI/ML to work on large-scale payment and financial datasets, develop predictive models, and deliver data-driven insights.
Experience: 10–15 Years
Work Mode: On-Site (Noida)
Engagement: Contract
Key Responsibilities• Analyze complex financial and payment data to identify trends and actionable insights
- Develop and implement machine learning models for predictive analytics, classification, and regression
- Work with product, engineering, and business teams on data science requirements
- Clean, preprocess, and transform large datasets
- Contribute to data pipelines and workflows
- Monitor and evaluate model performance
- Present analytical findings through effective data visualization
Required Skills• 10–15 years of hands-on experience in AI, Data Science, Machine Learning, or related fields
- Strong Python / R skills
- Solid understanding of Machine Learning algorithms including regression, classification, and clustering
- Experience with Pandas, NumPy, SciPy
- Experience with AWS DMR, Glue, and Redshift
- Experience with Tableau, Power BI, or Superset
- Strong experience working with large datasets and data preprocessing
- Strong communication and cross-functional collaboration skills
Preferred Skills• SQL databases
- TensorFlow / PyTorch
- Spark
- Jupyter Notebook / Visual Basic Code
- Git / version control systems
Ideal Candidate: Someone who combines strong data architecture capabilities with hands-on AI/ML and data science experience, particularly in large-scale or financial data environments.