Python
KubernetesRoles & 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TalentXO
About
Company social profiles
Similar jobs
Python
PostgreSQLJob Description Back-End Developer, Portfolio Management System Dedicated Engagement — Hurricane Capital Role Snapshot Engagement: Dedicated resource, employed/contracted through Transient.AI, invoiced to Hurricane Capital. 100% committed to Hurricane's work — not shared across accounts. Level: Mid-Level back-end developer (not junior, not principal). Location: Remote. Onshore or offshore, but must work U.S. East Coast hours. Type: Full-time, dedicated. Start: As soon as possible. MVP target: end of year. Works with: Rob and Rehan (Hurricane), plus Transient-side engineering for code review. The Work Hurricane Capital is building a portfolio management system from the ground up. This is fully Greenfield — the infrastructure does not exist yet, so you are building it, not maintaining someone else's. The immediate focus is Bloomberg connectivity and the Python back-end that market data flows through. You will be a dedicated engineer for Hurricane, working alongside Rob and Rehan in real time. Because the codebase lives on the Transient side and is reviewed before merge, you will also coordinate directly with Transient engineering. What You'll Own ● Build back-end services and APIs in Python from scratch for the portfolio management system. ● Implement and troubleshoot Bloomberg API connectivity for market data ingestion. ● Design and maintain the data layer — Postgres and SQL, with Snowflake as the cloud data warehouse. ● Work with Azure cloud infrastructure as the system requires. ● Collaborate live over Teams during East Coast hours to co-work and troubleshoot with Rob and Rehan. ● Coordinate with Transient engineering on code review and merges into the shared codebase. What Good Looks Like ● A working MVP of the portfolio management system is delivered by end of year, built in parallel with existing workstreams. ● Bloomberg connectivity is completed and stable, with market data flowing reliably through the Python APIs. ● Hurricane's work moves in real time — no waiting on cross-account turnaround, because this capacity is dedicated. ● Code clears Transient-side review cleanly, with trust established during hiring so there is no gating delay. Must Have ● Strong Python for back-end and API development. ● Hands-on Bloomberg API experience. ● Ability to work U.S. East Coast hours consistently (non-negotiable — daily live collaboration depends on it). ● Database experience: SQL and Postgres. Strong Plus ● Snowflake (cloud data warehouse). ● Azure cloud experience. ● JavaScript. ● Familiarity with capital markets or market data products. Nice for Later The MVP does not require AI/ML work. Over time the system is expected to move in that direction, so appetite to learn and grow into AI-enabled features is a genuine plus — and part of what makes this role interesting. Why This Role ● Completely Greenfield — you build the entire infrastructure from the ground up, not patch an existing system. ● Dedicated to one team, working directly with Rob and Rehan rather than split across clients. ● A clear path to grow into AI-enabled portfolio management as the system matures.
Java
Spring Boot Architect, develop and maintain highly scalable, reliable and secure distributed backend
systems on Cloud (AWS or Azure) or on-premises environments for its customers
and partners.
Work closely with your fellow engineers to develop systems capable of concurrently
processing massive amounts of voice data both in online real-time as well as offline
environments.
Drive accountability for test driven development, delivery of high-quality features and
resilient enterprise class solutions.
Lead a culture of team ownership and direct individual and team accountability to
continuously improve how they work to achieve results.
Work in a startup environment, pushing boundaries with deep involvement with business.
Requirements (what we are looking for)
The right person is better than the right set of experiences and these are the traits we’ve
identified make great additions to our team.
BE//BTech/ME/MTech in Computer Science or a related field from a Tier I or Tier II
University.
6-8 years of hands-on software development and deployment experience (experience of
working in a consumer product startup during its growth phase will be a plus) of which 1 – 2
years of experience would be in leading a team of software developers.
Expertise in Java 8+ and Spring Boot is a must
Good experience in messaging platforms like RabbitMQ/Kafka
Good experience in distributed systems and relational & NoSQL databases like PostgreSQL,
MySQL, Redis, MongoDB, etc.
Expertise in one or more of: Python, NodeJS, GoLang would be preferred
Must have hands on experience in products which handle multiple concurrent calls (API),
handle CPU intensive jobs, consist of multiple asynchronous system calls.
Worked on microservices based architecture and design
Managed/ Owned infrastructure on AWS/Microsoft Azure/private clouds and setup high
availability systems
Knowledge of Docker and Kubernetes
Knowledge of RESTful APIs, caching concepts, the HTTP protocol and general web
architecture
- Drafting, reviewing and negotiating of customer/subcontractor agreements in a wide range of industrie.
- Extensive experience with vetting, drafting and negotiating master service agreements, subcontractor, non-disclosure agreements, statement of works, change orders etc.
- Well versed in local commercial and corporate law with global outlook.
- Collaborate with various business functions in connection with driving deal negotiations.
- Post signing contract management, including amendments to existing contracts, business team support and counsel
- Train the other legal team members on negotiation/drafting skills
- Managing, mentoring and leading team members.
- 8+ years of law firm experience with a mid to large size law firm or IT company or similar industry with a focus on general corporate law. An understanding of IT and IT sourcing contracts a plus
- Strong knowledge and experience in negotiating high value commercial contracts. Candidate should possess experience in handling international clients and exposed to international laws
Position: Call Quality Analyst
Monitoring Calls:
Listen to recorded or live calls between customer service representatives and customers.
Evaluate the call based on predefined quality metrics and guidelines.
Quality Assessment:
- Assess and score calls on various criteria, including but not limited to, professionalism, communication skills, adherence to scripts or protocols, problem-solving abilities, and compliance with company policies.
- Feedback and Coaching:
- Provide constructive feedback to call center agents on their performance, highlighting strengths and areas for improvement.
- Offer coaching and training to help agents enhance their skills and meet quality standards.
- Reporting and Documentation:
- Maintain detailed records and documentation of evaluations, scores, feedback, and coaching sessions.
- Generate regular reports on individual and team performance for management review.
- Root Cause Analysis:
- Identify recurring issues or trends in calls and collaborate with relevant departments (e.g., training, operations) to address and resolve
- Compliance and Policy Adherence:
- Ensure that agents adhere to company policies, legal requirements, and industry regulations during customer interactions.
- Process Improvement:
- Propose improvements to call center processes, scripts, training materials, or policies based on insights gained from call evaluations.
- Training and Development Support:
- Assist in the development and delivery of training materials and programs for call center agents.
- Conduct refresher training sessions on specific skills or areas identified for improvement.
- Quality Assurance Metrics:
- Collaborate with stakeholders to establish and refine key performance indicators (KPIs) for call quality.
- Monitor and analyze performance metrics to ensure they align with organizational goals.
- Stakeholder Communication:
- Communicate findings, trends, and improvement recommendations to call center management, supervisors, and relevant departments.
Qualifications:
- Minimum 2 years of experience as a Call Quality Analyst.
- Previous experience in a call center or customer service role is often preferred.
- Strong analytical skills and attention to detail.
- Excellent communication skills, both written and verbal.
- Proficiency in using call monitoring software and tools.
- Knowledge of industry-specific regulations and compliance standards (if applicable).
iOS App Development
Objective C
SwiftWe are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and tablet computers. Your primary focus will be development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:-
- Design and build applications for the iOS platform
- Ensure the performance, quality, and responsiveness of applications
- Collaborate with a team to define, design, and ship new features
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
Skills:-
- Proficient with Objective-C or Swift.
- Familiarity with RESTful APIs to connect iOS applications to back-end services
- Knowledge of other web technologies and UI/UX standards
- Understanding of Apple’s design principles and interface guidelines
- Knowledge of low-level C-based libraries is preferred
- Familiarity with cloud message APIs and push notifications
- Knack for benchmarking and optimization
- Proficient understanding of code versioning tools (such as Git, Mercurial or SVN)
- Familiarity with continuous integration
Education Qualification:-
- Undergraduate in Engineering related to Computer Science and Information Technologies and Postgraduate in Computer Science
- Shouldn’t have Backlog or Arrear.
Android Development
KotlinJavaCaratLane is a Technology-Driven organization and India’s first omnichannel jewelry brand, it
was founded in 2008, by Mithun Sacheti, with a simple but courageous objective – to make
beautiful jewelry accessible, affordable and forever wearable. With a strategic investment from
Titan Company Limited, CaratLane is now partnered with India’s largest retail jeweler Tanishq.
Under the leadership of our co-founders Gurukeerthi Gurunathan and Avnish Anand, CaratLane
aims to work towards a common mission – to offer customers beautiful jewelry and a
distinctive shopping experience that fits today’s values and lifestyles.
Desired candidate profile :
● Development experience with Android OS and Knowledge of Web services/API
interactions, Audio/Video streaming, SQLite, and JSON/XML parsing.
● Understanding of Object Oriented Programming and good command over an object-oriented language
● Strong grasp of algorithms and data structures.
● Hands-on Linux experience
● Experience launching mobile applications in the Google Play app store or Apple iTunes
store.
● Experience launching web applications.
● Experience with an MVC framework like Ruby on Rails, Django, Laravel
● Experience with server-side and client-side Javascript - Node.js, Angular.js, jQuery.
● Experience with version control tools like git, Subversion and Mercurial
● Experience with Amazon Web Services
● Experience with Distributed systems and machine learning
● Knowledge of design patterns
● Ability to write and maintain high-quality code.
● Must be a quick learner and be adaptable to new technologies.
● Comfortable in an agile start-up culture based on respect, low hierarchy, high
transparency and fast sprints.
Nice to Have :
● Domain knowledge in eCommerce
● Previous experience in a product company is a plus.
What we value as a team:
● Proactive in communication
● Collaborate with other members of the agile ecosystem
● Out-of-the-box thinking to resolve issues and bringing New Ideas to bring Quality in
the Applications
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)
MongoDBResponsibilities
- Responsible for end-to-end development (front-end to back-end) eb based applications
- Design and develop robust, scalable and highly efficient website
- Ensure the best possible performance, quality, and responsiveness of the application
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automation
Skills
- Strong development experience in Java, JavaScript on Node.js
- Proficiency in full stack web application development (MEAN stack)
- Strong programming skills with experience in design, coding, and testing
- Proficiency with relational databases such as MySQL
- Good understanding of server-side CSS preprocessors (such as Sass, based on project requirements)
- Good experience with AJAX, REST and JSON
- Experience with AWS cloud services will be an added advantage
- Understanding of Source Control tools for version control: GIT/SVN
Requirements
- Bachelor degree in Computer Science, Engineering or a related subject
- 2 - 6 years of hands on experience developing, implementing and delivering web applications
- Excellent written and verbal communication skills
Java
.NET
HTML/CSS
Javascript
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon