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Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

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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.

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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.

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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

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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.

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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.

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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.

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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.

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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.

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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

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Mandatory (Age) - Candidate's Age should be below 37 years.

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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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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.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

E-Commerce Executive

Industry: FMCG – Food Products / D2C Brand

Location: Pune

Experience: Minimum 2 Years

Employment Type: Full-Time, Permanent

About the Role:

We are looking for an experienced E-Commerce Executive to manage and grow our online sales channels across leading e-commerce and quick-commerce platforms. The ideal candidate should have hands-on experience in FMCG/D2C e-commerce operations, catalog management, sales optimization, inventory coordination, and performance reporting.

Key Responsibilities:

• Manage product catalogs, listings, pricing, descriptions, and availability across e-commerce platforms.
• Handle operations on Amazon, Shopify, BigBasket, Swiggy Instamart, Blinkit, Flipkart, and similar platforms.
• Coordinate with platform POCs for promotions, campaigns, visibility, and operational issues.
• Develop strategies to achieve sales targets and improve product visibility and conversions.
• Analyze sales trends, platform performance, and customer behavior to identify growth opportunities.
• Coordinate with production, warehouse, and logistics teams for smooth order fulfillment.
• Monitor inventory and address issues related to stock-outs, delays, returns, and cancellations.
• Handle customer queries, complaints, feedback, and online reviews.
• Monitor and maintain the brand's online reputation.
• Prepare weekly and monthly sales and performance reports using Microsoft Excel.
• Work closely with marketing and digital media teams on e-commerce campaigns and promotions.
• Research and onboard new e-commerce/quick-commerce platforms to expand the brand's digital presence.

Desired Candidate Profile

• Minimum 2 years of experience in E-Commerce Operations, preferably in FMCG or D2C.
• Hands-on experience with Amazon, Shopify, Flipkart, BigBasket, Swiggy Instamart, Blinkit, or similar platforms.
• Strong knowledge of Microsoft Excel and data analysis.
• Good understanding of online sales, promotions, catalog management, and order fulfillment.
• Strong analytical, communication, coordination, and multitasking skills.
• Ability to work with cross-functional teams and external platform partners.
• Bachelor's degree in BBA, BMS, or equivalent preferred.

Mobile Automation Test Engineer 

Experience 5 – 12 Years

Location

Pune | Hyderabad | Vizag

About the Role

We are seeking an experienced Mobile Automation Testing professional with strong hands-on expertise in building and executing automation frameworks for mobile applications. This role is ideal for candidates who enjoy working in fast-paced environments and collaborating closely with cross-functional teams to ensure high-quality mobile solutions.

Key Responsibilities

• Design, develop, and execute mobile automation test scripts using Appium
• Build and maintain automation frameworks using Java and Selenium
• Perform automated testing for Android and/or iOS applications
• Integrate automation scripts with CI/CD pipelines in Agile or DevOps environments
• Analyze test results, identify defects, and work with development teams for resolution
• Participate in sprint planning, daily stand-ups, and other Agile ceremonies
• Ensure test coverage across functional, regression, and integration testing

Must-Have Skills

• 5+ years of hands-on experience in Mobile Automation Testing
• Strong programming experience in Java
• Solid expertise in Selenium and Appium
• Experience testing mobile applications (Android / iOS)
• Good communication and coordination skills
• Practical exposure to Agile and DevOps methodologies
• 
  

Additional Skills (Good to Have)

• Experience with CI/CD tools like Jenkins, Git, Maven/Gradle
• Knowledge of mobile device farms or cloud testing tools
• Exposure to API testing tools (Postman, REST Assured)
• Understanding of mobile test strategies and best practices
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Who Should Apply

• Automation testers looking to specialize in mobile platforms
• Candidates comfortable working in enterprise-scale testing environments
• Professionals who can independently handle automation deliverables
• 
  

ROLES AND RESPONSIBILITIES:

The Manager/Deputy Unit Manager – Dialer Ops serves as the functional owner of dialer performance across DMS portfolios. The role independently manages end-to-end dialer operations, leads performance optimization, and drives analytical insights to strengthen calling effectiveness. This position acts as a bridge between tactical execution and strategic decision-making, ensuring that dialer efficiency, compliance, and penetration targets are consistently met. The role requires strong domain expertise, analytical rigor, and cross-functional collaboration.

KEY RESPONSIBILITIES:

Dialer Strategy & Execution:

• Manage end-to-end execution of multiple dialer campaigns across various DMS delinquency buckets (X, 30+, 60+, 90+, etc.).
• Develop and execute segmentation-based calling strategies as guided by the business and senior leadership.
• Conduct deep-dive diagnostics on dialer logs, routing, pacing logic, and campaign-level performance.

Performance Optimization & Analytics:

• Analyze daily/weekly dialer metrics and highlight performance trends, gaps, and improvement opportunities.
• Implement dialing strategy enhancements—attempt logic, retry cycles, skill routing, and call distribution.

Compliance & Governance:

• Conduct rigorous audits of calling lists, exclusion logic, DND filters, opt-outs, customer consent, and allowed calling windows.
• Ensure adherence to regulatory guidelines, internal audit standards, and risk controls.
• Maintain robust documentation of campaign changes, SOP updates, and version logs.

Cross-Functional Coordination:

• Collaborate with Operations for workforce alignment, agent readiness, and campaign prioritization.
• Work with Tech teams to resolve dialer issues, API failures, latency lags, and integration errors.
• Partner with Quality and Policy teams to align operational execution with business rules.
• Coordinate with MIS teams for data validation and report automation.

Reporting & Governance:

• Prepare and publish daily/weekly/monthly MIS reports, dashboards, and analytical presentations.
• Present dialer performance during weekly business reviews and highlight key insights or areas requiring action.
• Track KPI dashboards for leadership, including connect %, agent utilization, penetration, drop %, and productivity metrics.

IDEAL CANDIDATE:

Domain & Technical Expertise:

• Strong understanding of Collections, DMS frameworks, delinquency buckets, and customer treatment strategies.
• Hands-on experience with enterprise-grade dialer systems (Genesys / Avaya / Aspect / Ameyo / NICE / Five9).
• In-depth knowledge of dialer modes (predictive, preview, progressive), pacing logic, call blending, and routing principles.
• Working knowledge of CRM systems, CTI integrations, and lead management platforms.

Analytical & Reporting Skills:

• Advanced Excel skills (Power Query, Pivots, Index/Match, Nested formulas, Data modeling).
• SQL proficiency preferred for data extraction, query building, and troubleshooting.
• Ability to interpret large data sets and convert findings into actionable insights.

Execution & Problem-Solving Skills:

• Strong troubleshooting ability to resolve dialer failures, configuration errors, and performance bottlenecks.
• High execution discipline with the ability to manage multiple campaigns simultaneously.
• Strong decision-making capabilities under operational pressure.

Communication & Stakeholder Management:

• Ability to collaborate effectively with cross-functional teams (Ops, Tech, Analytics, Compliance).
• Strong documentation, reporting, and presentation skills.
• Ability to translate analytical findings into business-friendly recommendations.

Eligibility-

• Open to employees in GB03A / GB03B as per mobility and internal movement guidelines.
• Must have completed minimum tenure requirements as defined by HR.
• No active performance improvement plan or disciplinary action.
• Consistent performance ratings and adherence to compliance norms.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

WHO WILL LOVE THIS JOB?

• Attracted to creativity, innovation, and eagerness to learn

• Alignment to a fast-paced organization and its short-term and long-term goals

• An engaging, open, genuine personality that naturally encourages interaction with individuals at all levels

• Strong value system and sense of ethics • Absolute dedication to premium quality

• Want to build strong core product team capable of developing solutions for complex, industry-first problems.

• Build balance of experience, knowledge, and new learnings

ROLES AND RESPONSIBILITIES?

• Driving the success of the software engineering team at Datamotive.

• Collaborating with senior and peer engineers to prioritize and deliver features on the roadmap.

• Build strong development team with focus on building optimized & usable solutions.

• Research, Design & Develop distributed solution to handle workload mobility across multi & hybrid cloudsr

• Assist in Identifying, Researching & Designing newer features and cloud platform support in areas of disaster recovery, data protection, workload migration etc.

• Assist in building product roadmap.

• Conduct pilot tests to assess the functionality of newly developed programs.

• Front facing customers for product introduction, knowledge transfer, solutioning, bugs triaging etc.

• Assist customers by giving product demos, conducting POCs, trainings etc.

• Manage Datamotive infrastructure, bring innovative automation for optimizing infrastructure usage through monitoring and scripting. • Design test environments to simulate customer behaviours and use cases in VMware vSphere, AWS, GCP, Azure clouds. • Help write technical documentation, generate marketing content like blogs, webinars, seminars etc.

TECHNICAL SKILLS?

• Experience in software development with relevant domain understanding of Data Protection, Disaster Recovery, Ransomware Recovery.

• A strong understanding and demonstrable experience with at least one of the major public cloud platforms (GCP, AWS, Azure or VMware)

• A strong understanding and experience of designing and developing architecture of complex, distributed systems.

• Insights into development of client-server SaaS applications with good breadth across networking, storage, micro-services, and other web technologies.

• Experience of building and leading strong development teams with systems product development background

• Programming knowledge in either of GO Lang, C, C++, Python or Shell script.

• Should be a computer science graduate with strong fundamentals & problem-solving abilities.

• Good understanding of virtualization, storage and cloud platforms like VMware, AWS, GCP, Azure and/or Kubernetes will be preferable

• Web :  Angular2+ (min 3 years), HTML5, NodeJS, Yarn
• Programming: Typescript
• IDE Tools : Visual Studio Code,
• Source Control – Good knowledge on SVN/Git
• Good to have: Java8, SpringBoot, JPA, Oracle PL SQL, SOAP, Restful, WSDL, ETL tools like Talend
  
  Role Summary:
• Software Development with best coding practices
• Proper co-ordination with other team members for maintaining source code versioning
• Complete and provide status of work to Team Lead/Project Manager regularly
• Create and maintain proper documents related to development work
• Collaborate with other team to create quicker issue resolution to achieve high customer satisfaction
• Flexible to learn other technologies and work across teams
• Clear understanding of requirement from functional team
• Involvement in analysis, design, coding, SIT, UAT and support