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Roles & Responsibilities
- Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
- Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
- Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
- Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
- Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
- Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
- Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
- Define AI platform architecture, operational excellence, SLAs, and incident management practices.
- Build, mentor, and scale high-performing AI Engineering and Data Science teams.
Ideal Candidate
1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing
7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
11.Mandatory (Age) - Candidate's Age should be below 37 years.
12.Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.
14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.
15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.
• Design, develop, code and test the solution
• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)
• 5-10 yrs of industry experience
• Energetic self-starter, with a desire to work in a startup environment
• Proficient in advanced Java programming skills
• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
• Nice to have understanding on MQ (e.g. Kafka)
• Good hands on in Complex Event Processing systems
• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time
• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)
• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
• Experience developing RESTful APIs for complex data sets
• Knowledge of container based development & deployment (e.g. Dockers, K8s)
• Expertise in software security domain, a plus
Issuing domestic, International flight tickets
Co-ordinating with the airlines
Preferred knowledge of IATA, GDS, Amadeus, Abacus Sabre
Requirements:
- Energetic self-starter, with a desire to work in a startup environment.
- Proficient in advanced Java programming skills.
- Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
- Nice to have understanding on MQ and DB
- Good hands on in Complex Event Processing systems.
- Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
- Real world experience working with large datasets and NoSQL database technologies
- Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
- Experience developing RESTful APIs for complex data sets
- Knowledge of container based development & deployment (e.g. Dockers, rkt)
- Expertise in software security domain, a plus
Responsibilities
• Build applications using JavaScript frameworks such as React.js, Vue.js or svelte.js
• Build reusable UI components, ensuring that UI code base is scalable and maintainable
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Good in writing unit test cases, and can follow test driven development approach
• Participate in user experience design and architecture initiatives
• Collaborate with other team members and stakeholders to ensure smooth delivery and elicit new
requirements
• Perform troubleshooting steps, if any, in the phase of implementation, customization, and
configuration
• Having good debugging skills and proficiency in tool to build next-generation web apps
Mandatory Skills
• Knowledge of Functional and OO JavaScript/ES6
• Built web Applications using HTML5, CSS3, and JavaScript with Frameworks like React.js(Hooks
and context API), Vue.Js and svelte.js
• Basic understanding of Typescript and type language concepts
• Clear fundamental understanding of server-side rendered apps, experience with frameworks like
Next,js or Nuxt.js is the Best
• Good understanding of lib and frameworks like Webpack (4.0), lodash, any charting lib like d3.js or
Victory
• Expertise in using JavaScript state Management libraries such as Redux or Mobx
• Prior experience in building responsive design layouts using a formal framework like Material UI.
• Familiarity with best practices (web security concepts, ensuring browser & device compatibility,
etc.)
• Experience in development and debugging tools for cross-browser issues
• Working knowledge of integrating with RESTful APIs for server-side functionality
• Ability to work well individually and in a group setting, under pressure and deadlines
Requirements
• B.Tech/ B.S. or M.Tech/ M.S. in Computer Science, IT or related field.
• 5-8 years of experience.
Desirable Skills
• Hands-on experience with using Git (handling branching and merging), any DevOps pipeline,
• Experience with Agile methodologies
BASIC QUALIFICATIONS
- At least 8+ years of IT experience most of which will have been in helping the design and implementation of the software suite/module.
- 2+ years on any Cloud Platform (AWS, Azure, Google etc).
- Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field.
- Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations.
- Strong programming skills in Java.
- Strong hands-on experience in integrating multiple databases like Oracle, SQL Server, PostgreSQL etc.
- Deep hands-on experience in the design, development and deployment of business software at scale.
- Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Leading/Involved in highly-available and fault-tolerant enterprise and web-scale software applications.
- Experience in performance optimization techniques
- High end Troubleshooting and Communication skills.
- Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required
PREFERRED QUALIFICATIONS
- Implementing experience with primary AWS services (EC2, ELB, RDS, Lambda, API Gateway Route53 & S3).
- AWS Solutions Architect Certified
- Experience in programming languages like Java/Python.
- Demonstrated ability to think strategically about business, product, and technical challenges
- Integration of AWS cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP etc.
- Experience with IT compliance and risk management requirements (eg. security, privacy, SOX, HIPAA etc.).
- Extended travel to customer locations may be required to sell and deliver professional services as needed
As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.
If you’re also familiar with Agile methodologies, we’d like to meet you.
Responsibilities:-
Work with development teams and product managers to ideate software solutions
Design client-side and server-side architecture, Mocks
Build the front-end of applications through appealing visual design
Develop and manage well-functioning databases and applications
Write effective APIs, API management
Test software to ensure responsiveness and efficiency
Troubleshoot, debug and upgrade software
Create security and data protection settings
Build features and applications with a mobile responsive design
Write technical documentation
Work with data scientists and analysts to improve software
Requirements:-
Proven experience as a full stack developer or similar role
Experience developing desktop and mobile applications
Familiarity with common stacks
Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js, React native)
Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
Excellent communication and teamwork skills
Great attention to detail
Organizational skills
An analytical mind
Degree in Computer Science, Statistics or relevant field
Job description
Experience: At least 2- 5 years of experience in the IT industry
Technical Abilities:
You should have hands on experience in Web development.
You must have expertise in at least one of these languages: Python, Ruby, Javascript.
You should have working knowledge of a few of these frameworks: Django, Rails, Angular, React, React native.
You must have expertise in working with at least one of these databases: MongoDB, PostGres
You knowledge of the following is preferred: Hadoop, Spark, Kafka, ElasticSearch.
You should have good design development skills in web markup, including HTML5, CSS3.
You should have a solid understanding of web technologies, like, JSON, RESTful APIs, OAuth, etc.
You should be familiar with automated deployment, AWS infrastructure, Docker or similar containers.
You should be VERY well versed with Agile Methodology and Iterative development.
You should have worked in an Agile process and be familiar with standard development tools and processes Viz., code reviews, Bitbucket/Git, PivotalTracker/JIRA, etc.
In addition to Frontend skills (Angular, React, HTML, Bootstrap), they MUST HAVE server- side skills.



