11+ Loan servicing Jobs in Hyderabad | Loan servicing Job openings in Hyderabad
Apply to 11+ Loan servicing Jobs in Hyderabad on CutShort.io. Explore the latest Loan servicing Job opportunities across top companies like Google, Amazon & Adobe.
● Generate loan leads from the partnered institutions, open market and through different channels on the field.
● Develop and maintain relationships with partnered institutions and repeat business
and referral/s.
● Arrange and plan events to generate leads, and handle product queries and
service issues in the partnered institutions.
● Meet clients, verify documents, process files, coordinate for sanction /
disbursement of loans, personalized service to clients.
● Ensure the achievement of a given business target in your territory.
Experience: 1year+ in Banking sales such as personal loans, and home loans.
Company Description
VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.
About the Role
We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.
1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.
3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.
What You’ll Do
1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.
2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.
3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.
4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.
5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.
6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).
You’re a Great Fit If You Have
1. 6+ years of software engineering experience (backend or full-stack) in production systems.
2. Strong experience building real-time voice agents or similar systems using:
STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)
TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)
VAD / turn-taking and streaming audio pipelines
LLMs (e.g. OpenAI, Anthropic, Gemini, local models)
3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).
4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.
5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.
6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).
7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.
8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.
Nice to Have
1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.
2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).
3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).
4. Background in speech processing, signal processing, or dialog systems.
5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.
Job Description
Key Responsibilities
- Provide day-to-day resolution of external client and internal production incidents in a Pega-based application support environment.
- Collaborate with TPO teams, SE teams, Operations teams, EOCC, and associated IT support teams to drive timely incident resolution.
- Leverage strong Pega application and workflow knowledge to analyze, troubleshoot, and resolve production issues efficiently.
- Participate in 24×7 production support coverage, including on-call rotations for critical incidents as required.
- Monitor production alerts proactively to identify and address system issues before end-user impact occurs.
- Deliver clear, concise, and timely status updates on high-priority incidents to leadership and stakeholders.
- Develop a strong understanding of business impact through daily interaction with operations teams and system users.
- Perform incident root cause analysis (RCA) for production issues and actively track corrective actions through closure.
- Ensure production incidents are resolved and communicated in alignment with defined SLA requirements.
- Provide ongoing production support for enterprise Pega application suites.
- Resolve production tickets within established SLA and priority guidelines.
- Support and expedite resolution of escalated managed incidents.
- Represent the IT production support perspective in discussions with business and operations teams.
- Perform daily system health checks to ensure application stability, availability, and performance.
- Provide annual 1-on-1 production support coverage as required by the organization.
Required Skills
- 3–4 years of Pega experience with strong understanding of Pega-based applications
- 1–3 years of IT production support experience
- Strong verbal and written communication skills
- Working knowledge of Java technologies (preferred)
- Proficiency in SQL
- 1–3 years of BPM / workflow experience
- 1–3 years of XML/HTML experience
- Hands-on experience with Incident and Problem Management processes
Required Experience & Education
- 1–3 years of experience with Pega Case Management
- Proven experience working on cross-functional technical teams
- Experience supporting onshore/offshore delivery models
- Bachelor’s degree in a technical or business-related field, or equivalent professional experience
Desired / Nice-to-Have Experience
- Exposure to OpenShift environments
- Experience coaching or mentoring team members
- Pega Certification is a plus
Job Description:
Title : Python AWS Developer with API
Tech Stack : AWS API gateway, Lambda functionality, Oracle RDS, SQL & database management, (OOPS) principles, Java script, Object relational Mapper, Git, Docker, Java dependency management, CI/CD, AWS cloud & S3, Secret Manager, Python, API frameworks, well-versed with Front and back end programming (python).
Responsibilities:
· Worked on building high-performance APIs using AWS services and Python. Python coding, debugging programs and integrating app with third party web services.
· Troubleshoot and debug non-prod defects, back-end development, API, main focus on coding and monitoring applications.
· Core application logic design.
· Supports dependency teams in UAT testing and perform functional application testing which includes postman testing
Skills
Looking For Java Backend Developer
Greetings from Skilltasy !!!!
Urgent Requirement…
Job Role – Java Backend Developer
Experience – 6+ year
Work location –Bangalore/ Hyderabad
Notice Period – Immediate to 30 days
Skills -
· Develop enterprise-level applications and features using above mentioned technologies and tools.
· Collaborate with other developers, designers, and stakeholders to deliver highly functional features.
· Deliver on development requests while also setting accurate expectations, adhering to best practices, and creating modular and testable code.
· Adhere to an Agile methodology.
· Consider the user journey to create an intuitive user experience…
Please share profiles to
Unlock endless job opportunities today - Sign up at www.skilltasy.com/signup.
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
REQUIREMENTS:
- Experience: 13-15 years
- Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques
- understanding of different components such as web server, storages, integrations
- should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
- Good knowledge of functional and Object-Oriented Programming
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
- Familiarity with Azure pipeline
- Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
- Fundamental knowledge of design patterns
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Roles and Responsibilities:
- Identifying potential clients and partners, and reaching out to them to understand their requirements and counsel the students to choose Skill Dunia courses.
- You will be responsible for managing relationships with existing clients and partners, as well as developing new relationships to help drive business growth.
- You will be responsible for managing the entire sales process, from lead generation to closing deals. This may include creating sales opportunities, negotiating, managing the onboarding process for new clients and taking referrals to create new business ideas
- Build sales lead through referrals and cold calling to generate sales (monthly target/revenue-oriented)
- Collaborate with the Sales and Marketing team to plan and oversee new marketing initiatives
Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.


