management, skip tracing, field collection, legal services and work with the leading banks in India to provide debt collection services.
Headquartered in Mumbai, our client employs over 300 professionals and operates out of 6 locations in West & South India. They are one of the leading players and trusted name in the chosen markets for over 18 years with diverse promoter experience in Banking and FMCG with 40+ years of cumulative Banking / Risk management experience and assuring legality with the process in place.
As Associate Manager Collection, you will be managing medium to large teams to deliver on the desired collection metrics.
What you will do:
- Meeting Collection benchmarks for a given portfolio
- Managing team productivity & attrition
- Contributing to Team Building
- Portfolio Performance
What you need to have:
- 3-5 years of experience in credit and collections
- Proficient in Microsoft Office
- Young & dynamic individuals displaying team management skills, vigour to accept challenges and ability to handle & deliver on numbers should be an ideal fit for this role.
- Excellent verbal and written communication skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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About the job
Must-Have Skills
- 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
- Strong SQL — advanced query optimization, indexing, partitioning strategies
- Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
- Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
- Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
- Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
- ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
- Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management
Strongly Preferred
- Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
- Programming — Python or Scala for pipeline development
- API/microservices architecture exposure — understanding how data systems integrate with application layers
- Experience with data mesh / data lake house architectures
- Prior experience presenting architecture decisions to leadership/stakeholders
PythonLocation: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
React.js
Javascript
Android Development
iOS App Development
Details :
Exp - 3+ Yrs
CTC - Best in industry
Location - Chennai (Guindy)
1. Building and maintaining business relationships with clients for future needs.
2. Develop overall strategic action plans to ensure achievement of revenue targets.
3. Manage existing relationships to achieve 100% retention along with cross sell.
4 .Ensure 100% adherence to policies processes systems.
5 .Responsible to create brand awareness in the respective markets.
6. Have to drive a sustained growth rate and increase profits in market
Skills Required :
1 .Excellent communication skills.
2. Strong interpersonal skills and Quick Learner.
3 .Ability to understand client's needs and present solutions.
4 .Understanding of market and product.
5 .Must be strong in client acquisition.
Jenkins
Docker
Kubernetes
GitMLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
JavaJavascriptReact.jsReact.jsJavascript
Redux/FluxExperience in ReactJS with good understanding of React Lifecycle methods, component-based design and flux pattern.
Experience in CSS frameworks (Bootstrap/Material Design/Foundation)
Experience in unit testing frameworks (Jasmine/Mocha/Jest)
Experience in module bundler or task manager (Webpack/System.js/Gulp/Grunt)
Experience in web application profiling using tools such as Chrome DevTools
Additional skills: Knowledge of ESB, NoSQL databases (Hadoop/Cassandra/MongoDB), experience with mobile, SaaS and cloud-based development.
Ability to explore and grasp new technologies.
Javascript
PHP- Develop and manage e-commerce websites, web applications & web sites.
- Analyze, design, code, debug, test, document & deploy applications.
- Participate in project & deployment planning.
- Must be a self-starter & be able to work with minimum supervision
- Exp. In modules/extensions development/customization.
- Exp. In Theme integration/customization.
- Exp. In API creation/integration.
- Exp. In Migration from Magento1 to Magento2
- Extensive experience of PHP and MySQL.
- Exposure on Magento 2, CMS and JavaScript frameworks such as jQuery.
- Demonstrable knowledge of XML, XHTML, CSS, Modules i.e. API integration,
- Payment Gateways, XML with a focus on standards.
- Demonstrable source control experience
- Two or more published websites in E-Commerce
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Job description |
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Job Description: You will lead a team of specialists in the areas of talent acquisition, manpower planning and budgeting. You will manage manpower planning in accordance to expansion requirements and provide strategic advice on talent acquisition and workforce management. Job Responsibilities: 1. Should have experience in Delivery, Client Interaction and Team Handling. 2. Preferably should have experience working on Direct Clients and Implementation Partners. 3. Good to have: knowledge of US Tax terms (1099, C2C, W2)/Also should have experience working on Job Portals (Naukri, Dice, Monster,…etc) 4. Should have excellent communication skills. 5. Should be proactive and ensure to revert / submit profiles with quick turnaround time for timely submittals to meet sharp deadlines of submittals for each requisition. (Plan & execute the client deliverables). 6. Making use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals. 7. Responsible for achieving a good conversion ratio of submittals into interview and placement. 8. Should be well versed with various visas. 9. Should be an expert in full recruitment life cycle.
1. Lead an experienced team of Recruiters to support the hiring demand of our rapidly growing businesses and deliver annual hiring plan and target 2. Manage team performance and hire and develop the best 3. Collaborate with customers and peers to drive hiring initiatives and experiments 4. Provide recruiting leadership and consultancy in participating business/HR projects 5. Optimize operational process flows and identify ways to deliver a consistent, scalable, customer obsessed recruitment experience to all stakeholders 6. Drive simplification and contribute to increase productivity across the team 7. Drive the best candidate and referee experience, delivering on key internal SLA’s 8. Drive candidate feedback surveys and participate in other recruiting/HR initiatives to provide the best recruiting support |
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Full Stack Developer - Averlon