Shared job
Credit Saison India
Head of Data & ML Platform
Bengaluru · Executive
Older listing - lower visibility likelyVerified listingPosted 293d ago
Applicants who checked fit first are 3.1× more likely to hear back
Your match scoreCalculated · locked
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
Hiring pulse
LOW
Credit Saison India is showing limited hiring activity lately. Expect slight delayed response.
Apply window
First 72 hours
Window passed - posted 293d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
24 listedVenture CapitalWorkflow AutomationRegulatory ComplianceStakeholder EngagementRisk ReductionGoogle Vertex AIDistributed ComputingMLOps (Machine Learning Operations)+16 more
You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
About Credit Saison India
Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.
Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.
Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people.
Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact.
Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.
Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil.
Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment.
Key Responsibilities
Data & ML Engineering Leadership
- Build and scale ML engineering and data engineering functions.
- Establish MLOps frameworks for standardized, production-grade model development and monitoring.
- Ensure smooth model transition from data science experimentation to live deployment.
- Enterprise Decisioning Platform
- Design and operationalize a centralized decisioning platform that integrates low-code model development, AutoML, rule engines, and workflow automation.
- Enable DS & Risk teams to build, test, and deploy models with minimal engineering bottlenecks.
- Expand decisioning systems across functional pods—credit, pricing, collections, fraud, cross-sell, customer management—to drive consistent, explainable, and auditable decision-making.
- Ensure the platform is scalable, modular, and compliant with RBI regulations.
Core Platform & Lifecycle Management
- Build modern, scalable data platforms (real-time ingestion, lakehouse, event-driven systems).
- Ensure full lifecycle governance of data from sourcing to archival.
- Partner with governance teams to enable lineage, auditability, and regulatory compliance.
Operational Excellence
- Lead DataOps, L1/L2 support, and SRE teams to maintain >99.5% platform uptime.
- Implement automated testing, proactive monitoring, and self-healing systems.
- Optimize infra utilization and cloud cost efficiency.
- Business Delivery & Stakeholder Engagement
- Act as execution partner to the Head of Product & Strategy and functional leaders.
- Deliver platform capabilities and decisioning products aligned to business KPIs (loan volume growth, risk reduction, ticket size expansion, collections efficiency).
- Manage technology partnerships and vendor ecosystems (e.g., Databricks, automation tools).
Required Skills & Qualifications
- 15 ~ 20 years of experience in data engineering, ML engineering, or platform leadership, with at least 8 ~10 years in senior management roles.
- Proven success in building and scaling large-scale data/ML platforms in fast-paced environments (fintech preferred).
- Strong academic foundation with Bachelor’s/Master’s/PhD in Computer Science, Engineering, or quantitative fields from top-tier Indian institutions (IIT/IISc/BITS/NIT).
- Deep expertise in data platform design (streaming, lakehouse, event-driven, real-time ingestion).
- Hands-on knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI).
- Strong background in model lifecycle management—deployment, monitoring, retraining, and governance.
- Experience operationalizing decisioning platforms combining rules, ML, AutoML, and workflow automation.
- Expertise in distributed computing and big data frameworks (Spark, Hadoop, Kafka, Flink).
- Proficiency in cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
- Strong understanding of data governance, lineage, and compliance frameworks in regulated industries (RBI, GDPR).
- Solid programming and scripting experience (Python, SQL, Scala/Java) with knowledge of ML/DL libraries (TensorFlow, PyTorch, Scikit-learn).
- Track record of driving platform reliability, resilience, and performance through DataOps and SRE practices.
- Ability to manage and optimize infra utilization and cloud costs at scale.
- Excellent leadership skills with experience managing 15+ member teams across engineering and platform functions.
- Strong communication, stakeholder management, and vendor negotiation skills to bridge business and technology.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More Machine Learning Engineer roles in Bengaluru
See allKeep browsing