Senior Data Scientist_New
Application Form
Senior Data Scientist_New Application Form
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 5-8 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 5-10 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 4-7 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 4-7 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 4–8 years
Compensation: 40-50LPA + ESOPs
About the Company
This opening is for an venture-backed, AI-first fintech company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, they are building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results.
Position Overview
As a Senior Data Scientist, you will be part of the founding engineering team, driving the design and development of high-performance AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
You will play a significant part in the AI/ML charter —from research and experimentation to production deployment—bringing deep expertise in applied ML, GenAI, and MLOps/LLMOps to build scalable, reliable, and intelligent systems.
Key Responsibilities
- Design, build, and deploy scalable AI/GenAI solutions across reconciliation, document understanding, financial classification, and payment intelligence.
- Architect and operationalize ML/LLM features and APIs for core product integrations.
- Write clean, secure, and performant ML/LLM code, ensuring reproducibility, version control, and adherence to MLOps best practices.
- Develop robust evaluation frameworks and optimize models for latency, throughput, and scalability.
- Implement human-in-the-loop learning to continuously refine models based on user interactions.
- Mentor and grow the ML/GenAI team; set high standards for engineering and model quality.
- Collaborate closely with Product, Backend, Data, and DevOps teams to translate product requirements into scalable, production-ready ML systems.
Must-Have Qualifications
- 4–8 years of hands-on experience in Data Science / Machine Learning, with strong foundations in classical ML and Deep Learning.
- 1–2 years of production experience with GenAI, LLMs, AI Agents, or RAG-based systems.
- Proven expertise in ML algorithms, NLP, transformers, embeddings, vector search, and classification methods.
- Strong understanding of MLOps/LLMOps workflows—deployment, monitoring, drift detection, versioning, and CI/CD for ML.
- Proficiency in Python with strong system design and large-scale coding skills (PyTorch/TensorFlow, scikit-learn, pandas, etc.).
- Hands-on experience with semi-structured/unstructured data pipelines and large-scale financial data.
Nice-to-Have
- Familiarity with RAG systems (chunking strategies, prompt engineering, hybrid semantic/keyword search).
- Experience in fintech or enterprise SaaS domains (banking, reconciliation, ERP, accounting, compliance).
- Exposure to observability, automated retraining, and rollback/versioning for ML models.
- Knowledge of cloud platforms (AWS/GCP/Azure) and distributed systems.
- Contributions to open-source AI/ML projects or published research.
What We Offer
- High ownership: Build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: Influence architecture, shape the roadmap, and grow into leadership roles.
- Work with a founding team of repeat entrepreneurs & tech leaders, backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with 3 days in-office per week.
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 5-10 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 5-10 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Apply Now
Share your details below to apply for this job.
Job Description
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 5-8 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 5-10 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 4-7 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 4-7 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 4–8 years
Compensation: 40-50LPA + ESOPs
About the Company
This opening is for an venture-backed, AI-first fintech company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, they are building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results.
Position Overview
As a Senior Data Scientist, you will be part of the founding engineering team, driving the design and development of high-performance AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
You will play a significant part in the AI/ML charter —from research and experimentation to production deployment—bringing deep expertise in applied ML, GenAI, and MLOps/LLMOps to build scalable, reliable, and intelligent systems.
Key Responsibilities
- Design, build, and deploy scalable AI/GenAI solutions across reconciliation, document understanding, financial classification, and payment intelligence.
- Architect and operationalize ML/LLM features and APIs for core product integrations.
- Write clean, secure, and performant ML/LLM code, ensuring reproducibility, version control, and adherence to MLOps best practices.
- Develop robust evaluation frameworks and optimize models for latency, throughput, and scalability.
- Implement human-in-the-loop learning to continuously refine models based on user interactions.
- Mentor and grow the ML/GenAI team; set high standards for engineering and model quality.
- Collaborate closely with Product, Backend, Data, and DevOps teams to translate product requirements into scalable, production-ready ML systems.
Must-Have Qualifications
- 4–8 years of hands-on experience in Data Science / Machine Learning, with strong foundations in classical ML and Deep Learning.
- 1–2 years of production experience with GenAI, LLMs, AI Agents, or RAG-based systems.
- Proven expertise in ML algorithms, NLP, transformers, embeddings, vector search, and classification methods.
- Strong understanding of MLOps/LLMOps workflows—deployment, monitoring, drift detection, versioning, and CI/CD for ML.
- Proficiency in Python with strong system design and large-scale coding skills (PyTorch/TensorFlow, scikit-learn, pandas, etc.).
- Hands-on experience with semi-structured/unstructured data pipelines and large-scale financial data.
Nice-to-Have
- Familiarity with RAG systems (chunking strategies, prompt engineering, hybrid semantic/keyword search).
- Experience in fintech or enterprise SaaS domains (banking, reconciliation, ERP, accounting, compliance).
- Exposure to observability, automated retraining, and rollback/versioning for ML models.
- Knowledge of cloud platforms (AWS/GCP/Azure) and distributed systems.
- Contributions to open-source AI/ML projects or published research.
What We Offer
- High ownership: Build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: Influence architecture, shape the roadmap, and grow into leadership roles.
- Work with a founding team of repeat entrepreneurs & tech leaders, backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with 3 days in-office per week.
Role: Senior Data Scientist
Location: Bangalore (Hybrid)
Type: Full-time
Experience: 5-10 years
About the company
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview
As a Senior Data Scientist you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML and ML OPS expertise you would lead the AI charter end-to-end.
Role & Responsibilities
- Architect and implement scalable AI/GenAI features across reconciliation, document understanding, financial classification, and payment behavior intelligence.
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
Must - Have Criteria
- 5-10 years of experience in AI/ML, with 1–2 years hands-on with LLMs & GenAI.
- Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Solid with semi-structured document parsing and extraction pipelines.
- Comfortable with unstructured, noisy financial data and high-throughput workloads.
Nice to Have
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
What We Offer
- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.
- Flexible work culture, 3 days work from office
Apply Here : https://forms.gle/QHwK7wo8pzbjXhC87
Apply Now
Share your details below to apply for this job.
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