Architect – Data Science

B. Sc. in Computer Science & Engineering or any other engineering, Mathematics or Statistics (or similar) from a reputed university.

Note: Education requirements are not limited to those listed above. If you possess the necessary skills and experience, we encourage you to apply.

The ideal candidate will have 8+ years of professional experience in data science, machine learning, and advanced analytics, with some experience in leadership roles.

• Lead end-to-end data science workflows, from exploration, feature engineering, hypothesis testing to production-ready models.
• Design experiments and tests to validate data-driven hypotheses.
• Collaborate with product, engineering, and business teams to embed analytics into enterprise systems.
• Partner with ML and DevOps engineers to deploy production-grade ML pipelines via CI/CD.
• Monitor, log, and optimize ML pipelines for performance, reliability, and scalability.
• Leverage orchestration and containerization tools (Airflow, Kubeflow, Docker, Kubernetes) to streamline ML operations.
• Define best practices for reproducible data science projects (versioning, model validation, documentation).
• Mentor teams on advanced analytics, ethical AI, and bias mitigation.

• Deep understanding of machine learning algorithms, statistical modeling, deep learning, NLP, and recommendation systems.
• Practical experience with cloud ecosystems (AWS, GCP, Azure) and their analytical services.
• Hands-on knowledge of model drift detection, bias mitigation.
• Experience in explainability frameworks (SHAP, LIME), and model lifecycle management.
• Proficiency in data visualization and storytelling (Matplotlib, Seaborn, Plotly, or BI tools like Tableau, Power BI).
• Familiarity with MLOps (MLflow, Kubeflow, or equivalent).
• Expert in modern programming/scripting languages (e.g., Python, R)

• Familiarity with causal ML methods (propensity scoring, treatment effect estimation).
• Familiarity with federated learning, unsupervised learning.
• Contributions to open-source projects in ML/AI ecosystems.

1. Lead cross-functional teams and establish enterprise-wide AI best practices.
2. Opportunity to architect mission-critical AI/ML solutions impacting millions of users.
3. Very Competitive Salary and Excellent Career Opportunity in a Focused & Stable organization.
4. Most importantly, a friendly work environment with opportunity to learn from a number of highly skilled mentors.

If you believe you are the right candidate, then send your CV to career@relisource.com with this exact line as email's subject “DSC_ARCH_301092025” by March 31, 2026.

IMPORTANT: Resume attached without above subject line will not be processed. Your CV must include your photograph.