Satara Maharashtra Lead data scientist Jobs – 1 Open Jobs Today

Lead Data Scientist / AI/ML Engineer
Ayura Talent solution —Satara District, Maharashtra
- Up to ₹70,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
- Flexible schedule
Quick apply
3d

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Lead Data Scientist / AI/ML Engineer
Ayura Talent solution —Satara District, Maharashtra
Bajaj Finserv is looking for an experienced *Lead Data Scientist / AI/ML Engineer* to lead the design, development, and deployment of enterprise-scale AI/ML…
Up to ₹70,000 a month
Quick apply
3d
Senior Data Engineer
Avisoft —Satara District, Maharashtra
We are looking for an experienced Senior Data Engineer with strong expertise in Azure Databricks, PySpark, Azure Data Factory (ADF), and T-SQL to design and…
₹5,00,000 - ₹10,00,000 a year
Quick apply
11d

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Lead Data Scientist / AI/ML Engineer

Ayura Talent solution
Satara District, Maharashtra

Quick apply

Job details

Full-time
Up to ₹70,000 a month
3 days ago

Benefits

Provident Fund
Flexible schedule

Qualifications

CI/CD
Law
Kubernetes
Spark
Master's degree
Bachelor's degree
Machine learning
Distributed systems
Continuous integration
Risk management
APIs
Fraud prevention and detection
Kafka
Data science
AI
Leadership
Python

Full job description

Hiring: Lead Data Scientist / AI/ML Engineer

Company: Bajaj Finserv
Department: Software & Technology
Location: Pune (Work from Office)
Experience: 10–12 Years
Open Positions: 3
CTC: ₹42–70 LPA (75% Fixed + 25% Variable)
Working Days: Monday–Friday (5 Days)
Notice Period: Immediate to 30 Days Preferred
Candidate Location: Open to candidates across India (Relocation to Pune required)

About the Role

Bajaj Finserv is looking for an experienced Lead Data Scientist / AI/ML Engineer to lead the design, development, and deployment of enterprise-scale AI/ML platforms. This is an excellent opportunity for professionals with deep expertise in Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, and large-scale machine learning systems within the BFSI domain.

Key Responsibilities

Lead the end-to-end design, development, deployment, and optimization of production-grade AI/ML solutions.
Build scalable machine learning platforms for Credit Risk, Fraud Detection, Collections, Recovery, and Portfolio Monitoring.
Design and deploy distributed ML systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
Develop enterprise AI solutions using Python, Spark, Kafka, Kubernetes, APIs/Microservices, Feature Stores, Model Registry, and CI/CD pipelines.
Implement advanced AI capabilities such as Graph ML, Vector Databases, LLM-enabled decisioning, and distributed AI infrastructure.
Ensure compliance with BFSI governance standards, including model governance, auditability, PII handling, secure-by-design architecture, approval workflows, and model risk management.
Lead AI/ML engineering teams, mentor technical talent, and collaborate with business, product, and engineering stakeholders to deliver impactful AI solutions.

Mandatory Requirements

10+ years of experience in Data Science, AI/ML Engineering, or Machine Learning Engineering.
Current designation must be Lead or above (Lead / Principal / Engineering Manager / Associate Director / Director).
Hands-on experience building production-grade AI/ML systems.
Strong expertise in Credit Risk, Fraud Risk Management (FRM), Collections & Recovery with successful delivery of business-critical AI solutions.
Experience designing and deploying:
Credit Risk Models
Fraud Detection Models
Graph ML Solutions
Early Warning Systems
Portfolio Monitoring Models
Collections Optimization Models
Propensity Models
Recovery Forecasting Models
Strong programming expertise in Python with hands-on experience in:
Apache Spark
Kafka
Kubernetes
APIs & Microservices
CI/CD
Feature Store
Model Registry
Distributed Computing
Proven leadership experience managing AI/ML teams, mentoring engineers, and owning end-to-end delivery.
Strong experience working within BFSI governance, including PII handling, auditability, compliance, model governance, secure architecture, and model risk management.
B.Tech/M.Tech from Tier-1 Institutes (IITs, NITs, BITS).
Candidate age should be below 37 years.

Preferred Profile

Currently working in Product Companies, FinTech, Banking, NBFC, or Global Capability Centers (GCCs).
Professionals currently working overseas (NRI) who are planning to relocate permanently to India are encouraged to apply.
Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Compensation & Benefits

Competitive CTC: ₹42–70 LPA
75% Fixed + 25% Variable
Opportunity to work on enterprise-scale AI platforms with one of India's leading financial services organizations.

Interested candidates, please share your updated resume along with the following details:

Current Company
Current Designation
Total Experience
Relevant AI/ML Experience
Experience in Credit Risk / Fraud Risk / Collections
Current CTC
Expected CTC
Notice Period
Current Location
Highest Qualification

Pay: Up to ₹70,000.00 per month

Benefits:

Flexible schedule
Provident Fund

Work Location: In person

Quick apply

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