11+ Recovery management Jobs in India

Hiring Tele-collection Executive!

Location: Thane, Mumbai

Experience: Fresher / Experienced

Age Limit: 19 – 35 years

Salary: ₹14,000 – ₹25,000 (based on interview) + Incentives

Industry: Loan recovery (BL, PL, Credit card)

Education: 10th / 12th Pass & Above

Job Timing: 9:30 AM – 6:30 PM (Day Shift)

Immediate joiners prefered

Role & Responsibilities

Platform Unification-

• Audit technical architecture across all products; identify divergence points and integration friction
• Define common data models, API conventions, event-driven patterns, and database strategies for all verticals
• Create the GinesysOne architecture blueprint — the north-star reference for all engineering decisions
• Drive migration of duplicated capabilities (notifications, integrations, UI components, API gateway) to Shared App Platform
• Establish and track a Unification Score measuring % of common capabilities on shared platform
• Lead the Architecture Guild with Principal Engineers — weekly cross-vertical alignment forums

Delivery & Execution-

• Co-own what and when with the CPO — shape what gets built, when it ships, and trade-off decisions
• Drive bug-free releases through rigorous testing and automation
• Accelerate release velocity and reduce commit-to-production cycle time
• Implement release health metrics: defect escape rate, rollback rate, hotfix frequency, MTTR
• Manage L3 engineering support and ensure root cause elimination

Process Standardization & AI-Native Engineering-

• Standardize coding standards, branching strategy, code review, and testing requirements
• Mandate AI-assisted code generation and reviews
• Implement unified CI/CD pipelines with automated testing and security gates
• Create an engineering handbook as a single source of truth

People & Team Building-

• Hire and develop Engineering Managers
• Build and scale Shared App Platform team
• Develop Principal / Staff Engineer career track
• Unify engineering culture across acquired entities
• Establish clear career ladders for IC and management tracks

Quality & Reliability-

• Own overall product quality and QA processes
• Define quality metrics and enforce release gates
• Ensure cross-product QA sign-off before releases

Cross-Functional Collaboration-

• Co-own roadmap with CPO
• Partner with Infra, Platform, and Security teams
• Enable standardized data pipelines and APIs
• Ensure secure coding and security reviews

Ideal Candidate

• Strong Head of Engineering / Engineering Director / VP Engineering profiles
• Mandatory (Experience 1): Must have minimum 14+ years of overall experience in software engineering roles.
• Mandatory (Experience 2): Must have minimum 5+ years of experience in senior engineering leadership roles (Head of Engineering / VP Engineering / Engineering Director or equivalent).
• Mandatory (Experience 3): Must have experience leading large engineering organizations managing 50+ engineers across multiple teams or product verticals.
• Mandatory (Experience 4): Must have strong experience defining and driving common technical architecture, platform standardization, or engineering unification across multiple products or systems.
• Mandatory (Experience 5): Must have deep expertise in scalable system architecture, SaaS platforms, microservices architecture, and event-driven systems.
• Mandatory (Experience 6): Must have proven experience building or scaling shared platforms/services, including common APIs, integration layers, shared services, or platform ecosystems.
• Mandatory (Experience 7): Must have ownership of engineering delivery and execution, including release management, development lifecycle optimization, automation practices, and establishing standardized engineering processes such as CI/CD, coding standards, testing practices, and engineering governance..
• Mandatory (Experience 8): Must have experience working in SaaS or product-based technology organizations.
• Mandatory (Note): Candidate should be based in Gurugram / NCR or must have a strong reason to relocate.
• Preferred (Experience 1): Experience working in Retail Tech, ERP, POS, OMS, or enterprise SaaS platform environments.
• Preferred (Experience 2): Experience collaborating closely with Product, Infrastructure, Platform, and Security leadership teams to drive engineering roadmap execution.

Perks, Benefits and Work Culture

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual Ginesys walkathon & related sporting events.
• Quarterly Coffee with CEO.

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Job Overview

We are looking for a strategic and results-driven Sales Consultant with 6–8 years of experience in consulting sales to drive business growth across the Southeast Asia (SEA) region. The ideal candidate will be responsible for building and executing a go-to-market strategy, acquiring new clients, and scaling revenue while maintaining strong profitability. This role requires a combination of strategic thinking, strong client engagement skills, and the ability to close high-value consulting deals.

Key Responsibilities

• Own and drive end-to-end sales for the Southeast Asia region
• Develop and execute a clear go-to-market (GTM) strategy aligned with business goals
• Generate annual revenue of ₹4–5 Cr with a target of ~40% profit margin
• Identify, qualify, and close new business opportunities in consulting services
• Build and maintain strong relationships with CXOs and senior stakeholders
• Collaborate with delivery and solution teams to craft compelling proposals and solutions
• Lead client presentations, negotiations, and contract closures
• Continuously track market trends, competition, and opportunities within SEA markets
• Build a strong and sustainable sales pipeline to ensure consistent growth

Required Skills & Experience

• 6–8 years of experience in consulting sales / IT services / Salesforce or enterprise solutions sales
• Proven track record of meeting or exceeding revenue targets in international markets (preferably SEA)
• Strong experience in solution selling and a consultative sales approach
• Ability to create and execute region-specific sales strategies
• Excellent communication, negotiation, and stakeholder management skills
• Experience working with cross-functional teams including delivery and pre-sales
• Self-driven, entrepreneurial mindset with a strong ownership attitude

Preferred Qualifications

• Experience selling into Southeast Asia markets (Singapore, Malaysia, Indonesia, etc.)
• Exposure to Salesforce or digital transformation consulting services
• Established network within target industries is a strong advantage

Work Requirements

• Willingness to align with SEA time zones and travel as required
• Ability to independently manage and grow a regional business

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Web Developer Intern Require At Web Farm House Chokha. Web Farm Fouse is a startup and growing It Company.  Interns learn to apply responsive design, collaborate with teams, and contribute to projects using various web technologies. Interns might also troubleshoot issues, fix bugs, and learn to optimize code. 

Responsibilities:-

Participate in requirements analysis.

Collaborate with internal teams to produce software design and architecture.

Write clean, scalable code using .NET programming languages.

Test and deploy applications and systems.

Revise, update, refactor and debug code.

Improve existing software.

Develop documentation throughout the software development life cycle (SDLC).

Serve as an expert on applications and provide technical support.

Requirements and skills:-

Proven experience as a .NET Developer or Application Developer.

Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)).

Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3.

Familiarity with architecture styles/APIs (REST, RPC).

Understanding of Agile methodologies.

Excellent troubleshooting and communication skills.

We, at GlobalShiksha, are on a mission to Make Learning Fun for the K-12 segment by delivering high-quality, affordable supplementary educational products. The GlobalShiksha team of 150+ people works out of offices in Bengaluru. We- re backed by the top investor of the world, Accel Partners. Founded in 2011 by an IIT Graduate, GlobalShiksha is among top five Ed-tech companies of India and has the trust of 1 million parents. We are hiring a HR Manager who can take care of hiring and team building.

Responsibilities:

• Develop and implement HR strategies and initiatives aligned with the overall business strategy
• Bridge management and employee relations by addressing demands, grievances or other issues
• Manage the recruitment and selection process
• Support current and future business needs through the development, engagement, motivation and preservation of human capital
• Develop and monitor overall HR strategies, systems, tactics and procedures across the organization
• Nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance
• Maintain pay plan and benefits program
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management
• Coordinate with hiring managers to identify staffing needs.
• Determine selection criteria.
• Source potential candidates through online channels (e.g. social platforms and professional networks).
• Plan interview and selection procedures, including screening calls, assessments and in-person interviews.
• Must have experience in bulk hiring, college hiring, etc.
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System.
• Design job descriptions and interview questions that reflect each position's requirements.
• Lead employer branding initiatives.
• Forecast quarterly and annual hiring needs by department.
• Foster long-term relationships with past applicants and potential candidates.
•  

Requirements:

• Proven working experience as HR Manager or other HR Executive
• People oriented and results driven
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company
• In-depth knowledge of labor law and HR best practices
• Must have experience in hiring preferably for BPOs.
• Familiarity with social media, resume databases and professional networks.
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods.
• Excellent verbal and written communication skills.
• A keen understanding of the differences between various roles within organizations.
• Degree in Human Resources or related field

• Working with business teams across the company to define requirements and high-level process/system solutions, leading cross-functional teams (10-25) and managing the timelines for field sourcing teams to support sourcing and on-boarding of supply
• Working on strategies to acquire supply for existing business and new product lines and executing through field teams
• Driving margins improvements by improving supply acquisition cost
• Improving driver engagement and adoption to technology
• Regularly communicating with senior management and clients on status, risks and change control
• Defining KPIs/KRAs on which would form the base for different processes

Desired Candidate Profile

• Graduates from Tier 1/2/3 engineering colleges and/or Tier 2/3 management colleges
• 2-10 years of frontline operational experience in B2B domain at a city/hub level
• Ability to adapt quickly to a new environment    

• Engineering in computer science
• 3-5 years of experience in setup and management of Kubernetes infrastructure
• Expert level skills in analytical & problem solving
• Ability to communicate clearly in English

• Microsoft Azure
• Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
• Linux internals & services
• Docker, Docker Registry
• NGINX, Load Balancing, Firewall, Security, PKI
• Shell & Awk Script, Azure Templates & scripting, Python Scripting
• Knowledge of NoSQL Databases