Impacto Digifin Technologies

AI/ML Engineer (Open-Source LLM – BFSI Domain)

Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain)

Location: Brookefield, Bengaluru

Employment Type: Full-Time

Work Schedule: Monday to Saturday (Alternate Saturdays Off)

Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements)

About the Role

We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges.

In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities

Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases.

Build AI-powered applications using modern LLM frameworks and orchestration tools.

Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions.

Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable.

Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability.

Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications.

Maintain technical documentation, architecture diagrams, and deployment procedures.

Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.

Required Qualifications

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field.

Equivalent practical experience will also be considered.

Experience

Minimum 2+ years of hands-on AI/ML development experience.

Experience in the BFSI domain is preferred.

Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills

Programming Languages

Python (Mandatory)

Java (Preferred)

AI/ML Frameworks

PyTorch

TensorFlow

Scikit-learn

Open-Source LLM Technologies

Experience with one or more of the following:

LangChain

LangGraph

Ollama

Hugging Face Transformers

Llama

Mistral

DeepSeek

Qwen

vLLM

FastAPI

Generative AI

Prompt Engineering

Fine-Tuning LLMs

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.)

Model Evaluation and Optimization

Additional Skills

Docker

Kubernetes (Preferred)

REST APIs

Git

Linux

CI/CD pipelines

Core Competencies

Strong analytical and problem-solving skills.

Excellent understanding of AI/ML concepts and LLM architectures.

Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills.

Self-motivated with a passion for continuous learning and innovation.

Preferred Experience

Experience in any of the following areas will be an added advantage:

Banking & Financial Services applications

Fraud Detection

Credit Risk Assessment

Intelligent Document Processing

Loan Processing Automation

Customer Support Chatbots

Regulatory Compliance

OCR & Document AI

Agentic AI and Multi-Agent Systems

Interview Process

Round 1 – Technical Interview

Conducted by: Senior AI Engineer

Assessment includes:

Python Programming

Machine Learning Fundamentals

Open-Source LLMs

LangChain & RAG

Coding and Problem Sol…

Job Description

Team Lead – Full Stack Developer

Experience

3–5 Years

Location

Bangalore (Onsite)

Role Summary

We are looking for a highly skilled, hands-on, and ownership-driven Team Lead – Full Stack Developer who can independently architect, design, develop, deploy, and support enterprise-grade web, mobile, and cloud-native applications.

The ideal candidate should have strong expertise in ReactJS, Next.js, Java, Spring Boot, Microservices, Distributed Systems, Cloud Technologies, DevOps, AI-Assisted Development, and Product Engineering.

The candidate will be responsible for owning end-to-end product development, including frontend architecture, backend services, APIs, databases, deployment, production support, stakeholder communication, sprint planning, team leadership, and successful delivery of scalable, secure, and high-performance solutions.

Key Responsibilities

Architecture & Product Ownership

• Design end-to-end application architecture, HLDs, LLDs, deployment architecture, integration architecture, and security architecture.
• Build products from scratch and independently drive projects from concept to production.
• Convert business requirements into technical solutions, user stories, sprint plans, and delivery roadmaps.
• Design scalable, secure, fault-tolerant, multi-tenant, and enterprise-grade applications.
• Evaluate and recommend suitable technologies, frameworks, and development approaches.

Full Stack Development

Frontend Development

• Design and develop responsive and modern web applications.
• Build reusable UI components and scalable frontend architectures.
• Develop Single Page Applications (SPA) using ReactJS and Next.js.
• Implement state management using Redux Toolkit and Context API.
• Integrate REST APIs, GraphQL APIs, and WebSocket-based applications.
• Ensure application accessibility, responsiveness, performance optimization, and SEO best practices.
• Collaborate closely with UI/UX designers to deliver intuitive user experiences.

Backend Development

• Develop enterprise-grade backend applications using Java and Spring Boot.
• Design and develop REST APIs, Microservices, SOAP Services, gRPC Services, and Webhooks.
• Build reusable frameworks, service layers, and integration modules.
• Implement authentication, authorization, API security, and enterprise integrations.
• Optimize application performance, scalability, reliability, and maintainability.

Distributed Systems & Enterprise Solutions

• Design distributed systems using Event-Driven Architecture, CQRS, Saga Pattern, DDD, Hexagonal Architecture, and Clean Architecture.
• Implement resilience patterns, service discovery, circuit breakers, distributed transactions, and failover mechanisms.
• Build workflow automation platforms, document management systems, enterprise integration solutions, and business process automation systems.

Team Leadership & Delivery

• Lead and mentor development teams.
• Conduct code reviews, architecture reviews, and technical discussions.
• Drive sprint planning, stand-ups, reviews, and retrospectives.
• Collaborate with Product, Business, QA, DevOps, AI, and Management teams.
• Ensure successful project delivery while maintaining engineering standards and best practices.
• Support hiring, onboarding, mentoring, and technical growth of team members.

DevOps, Deployment & Production Support

• Manage CI/CD pipelines and deployment processes.
• Work with Docker, Kubernetes, and cloud-native environments.
• Implement Blue-Green, Canary, Rolling, and Zero-Downtime deployment strategies.
• Monitor application health and troubleshoot production issues.
• Ensure application reliability, security, scalability, and operational excellence.

AI & Innovation

• Leverage AI tools to improve development productivity and software quality.
• Build AI-powered Proof of Concepts (POCs) and enterprise applications.
• Utilize AI for development, testing, documentation, architecture reviews, and automation.
• Collaborate with AI teams to integrate intelligent capabilities into business applications.

Mandatory Technical Skills

Frontend Technologies

• ReactJS
• Next.js
• JavaScript (ES6+)
• TypeScript
• HTML5
• CSS3
• Tailwind CSS
• Material UI
• Bootstrap
• Redux Toolkit
• Context API
• React Query
• Responsive Design
• Progressive Web Applications (PWA)

Backend Technologies

• Java 8/11/17/21
• Core Java
• Spring Boot
• Spring MVC
• Spring Security
• Spring Data JPA
• Spring Cloud
• Spring Batch
• Spring WebFlux
• Spring Integration
• Spring AOP
• Spring Validation

APIs & Enterprise Integrations

• REST APIs
• SOAP Services
• GraphQL
• gRPC
• Webhooks
• OpenAPI / Swagger
• OAuth2
• JWT
• OpenID Connect
• SAML

Microservices & Distributed Systems

• Microservices
• Event-Driven Architecture
• CQRS
• Saga Pattern
• Domain-Driven Design (DDD)
• Event Sourcing
• Hexagonal Architecture
• Clean Architecture
• Service Discovery
• Circuit Breakers

Messaging & Streaming

• Apache Kafka
• RabbitMQ
• Event Streaming
• Message Brokers
• Asynchronous Processing

Databases

• PostgreSQL
• Oracle Database
• Oracle FLEXCUBE
• MySQL
• SQL Server
• MongoDB
• Redis
• Database Design
• Query Optimization
• Indexing
• Migration
• Replication

DevOps & Cloud

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• GitLab CI/CD
• AWS
• Azure
• GCP

Monitoring & Quality

• Grafana
• Prometheus
• ELK Stack
• OpenTelemetry
• JUnit
• Mockito
• SonarQube
• Unit Testing
• Integration Testing
• API Testing
• Performance Testing
• Security Testing

AI-Assisted Development Tools

• ChatGPT
• Claude
• Cursor
• GitHub Copilot
• Replit
• Lovable
• IntelliJ IDEA
• Prompt Engineering
• AI-Based Code Review
• AI-Based Testing & Documentation

Preferred Domain Experience

• Banking & Financial Services
• FinTech
• Enterprise SaaS
• Workflow Automation
• Digital Transformation
• AI-Powered Applications
• OCR & Document Processing
• Payment Systems
• Enterprise Integration Platforms
• Identity & Access Management
• Multi-Tenant Platforms

Soft Skills

• Strong leadership and ownership mindset.
• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects simultaneously.
• Strong mentoring and team collaboration skills.
• Innovation-driven and continuous learning attitude.

Education

Bachelor's Degree or Master's Degree in:

• Computer Science
• Information Technology
• Software Engineering
• Electronics & Communication
• Or equivalent practical experience

Preferred Candidate Profile

A highly motivated Full Stack Engineering Leader with experience building products from scratch, owning frontend and backend architecture, leading engineering teams, driving innovation, and delivering scalable enterprise-grade applications across web, mobile, cloud, and enterprise platforms. The candidate should be capable of independently managing architecture, development, deployment, production support, and successful project delivery while mentoring and growing engineering teams.

mandatory one w

Job Description – Senior QA Engineer (Banking & Financial Applications)Position

Job Title: Senior QA Engineer

Experience: 3+ Years

Employment Type: Full-Time

Department: Quality Assurance

Role Overview

We are seeking a highly skilled and proactive Senior QA Lead to take ownership of quality assurance across our banking and financial applications. The ideal candidate will be responsible for planning, managing, and executing end-to-end testing activities while leading a team of QA engineers.

This role requires a strong blend of technical expertise, leadership, client communication, and quality governance. The candidate will be expected to interact directly with customers and stakeholders, manage testing initiatives across multiple platforms, drive quality improvements, and lead the organization's transition from predominantly manual testing to scalable automation testing practices.

The successful candidate must possess excellent communication skills, strong analytical thinking, and the ability to confidently represent the QA function in both internal and client-facing discussions.

Key ResponsibilitiesQuality Assurance Leadership

• Own and manage the complete Software Testing Life Cycle (STLC).
• Define QA strategy, testing methodologies, standards, and best practices.
• Establish quality benchmarks and release readiness criteria.
• Ensure delivery of high-quality software across all products and releases.
• Drive continuous improvement initiatives within the QA function.
• Monitor product quality metrics and provide regular reporting to management.

Manual Testing & Quality Management

• Design, review, and execute detailed test plans, test scenarios, and test cases.
• Perform functional, regression, integration, system, exploratory, smoke, and user acceptance testing.
• Validate complex business workflows within banking and financial systems.
• Identify, document, track, and verify defects through closure.
• Ensure adequate test coverage across all business-critical features.
• Perform root cause analysis for production issues and quality incidents.

Test Automation Leadership

• Drive the organization's automation testing strategy.
• Identify manual testing areas suitable for automation.
• Build and maintain automation roadmaps and implementation plans.
• Work closely with engineering teams to improve automated test coverage.
• Establish automation frameworks, standards, and coding practices.
• Continuously improve automation efficiency and execution reliability.
• Measure and report automation coverage and effectiveness.

Team Leadership & Management

• Lead and mentor a team of QA engineers.
• Allocate work and monitor team performance and deliverables.
• Conduct test reviews and quality audits.
• Support team development through coaching and knowledge-sharing.
• Establish accountability and ownership within the QA team.
• Assist in hiring, onboarding, and training QA resources when required.

Client & Stakeholder Management

• Act as the primary QA representative in client interactions.
• Conduct customer calls, demonstrations, and quality review meetings.
• Communicate testing progress, risks, issues, and mitigation plans.
• Handle client concerns and escalations professionally and diplomatically.
• Collaborate closely with Product Managers, Business Analysts, Developers, DevOps teams, and senior leadership.
• Build strong stakeholder relationships through clear and effective communication.

Banking Domain Quality Assurance

• Validate banking, financial, and transaction-based workflows.
• Ensure accuracy of financial calculations, reconciliations, and transaction processing.
• Test security-sensitive and compliance-driven functionality.
• Verify integration with third-party financial systems, APIs, and services.
• Understand business-critical workflows and identify potential quality risks.

Required Technical SkillsTesting Expertise

• Strong experience in Manual Testing.
• Strong understanding of Software Testing Life Cycle (STLC).
• Strong understanding of Software Development Life Cycle (SDLC).
• Experience in Functional Testing.
• Regression Testing.
• Integration Testing.
• System Testing.
• User Acceptance Testing (UAT).
• Exploratory Testing.
• Smoke & Sanity Testing.
• Defect Lifecycle Management.

Automation Testing

Hands-on experience with one or more of:

• Selenium
• Playwright
• Cypress
• Appium

Experience with:

• Test automation framework design
• Automated regression suites
• Cross-browser testing
• Test execution pipelines
• Automation reporting and analysis

API Testing

• Postman
• REST APIs
• API Validation
• API Automation
• JSON/XML Validation

Database Testing

• SQL
• MySQL
• PostgreSQL
• Data Validation
• Query Analysis

Ability to:

• Write and execute SQL queries.
• Validate backend data against application workflows.
• Investigate data-related defects.

Frontend & Backend Understanding

The candidate should possess a good functional understanding of:

Frontend

• HTML
• CSS
• JavaScript fundamentals
• Browser Developer Tools

Backend

• API architecture
• Authentication mechanisms
• Database concepts
• Application logs and troubleshooting
• Client-server architecture

Tools & Platforms

Experience with:

• Jira
• Azure DevOps
• TestRail (preferred)
• Confluence
• Git
• CI/CD Pipelines

Exposure to:

• Jenkins
• GitHub Actions
• GitLab CI/CD

Required Soft SkillsCommunication

• Excellent verbal and written English communication.
• Ability to conduct client-facing meetings independently.
• Strong presentation and documentation skills.
• Ability to communicate technical and non-technical concepts clearly.

Leadership

• Team management and mentoring experience.
• Ownership-driven mindset.
• Ability to drive outcomes with minimal supervision.
• Strong decision-making capabilities.

Stakeholder Management

• Professional and diplomatic communication style.
• Strong customer relationship management skills.
• Ability to handle escalations and difficult conversations effectively.
• Experience coordinating across multiple teams and departments.

Personal Attributes

• Highly proactive and self-motivated.
• Strong analytical and critical thinking abilities.
• Detail-oriented with a quality-first mindset.
• Strong problem-solving capabilities.
• Ability to work in fast-paced environments.
• Excellent organizational and planning skills.
• Strong sense of accountability and ownership.

Preferred Qualifications

• Experience in Banking, FinTech, Payments, Lending, NBFC, or Financial Services domains.
• Experience working with enterprise-scale applications.
• Exposure to security and compliance testing.
• Experience in Agile/Scrum environments.
• ISTQB Certification (preferred).
• Experience driving QA transformation initiatives from manual testing to automation-first testing.

Key Success Indicators

The selected candidate will be expected to:

• Own and drive product quality across all releases.
• Lead and manage the QA team effectively.
• Improve automation coverage and reduce manual testing effort over time.
• Ensure smooth release cycles with minimal production defects.
• Build strong client relationships through professional communication.
• Proactively identify risks and drive timely resolutions.
• Establish a scalable and mature QA process across the organization.

Senior Mobile App Developer (Android & iOS)

Location: Brookefield, Bangalore — Onsite

Engagement: Full-Time

Experience: 3+ Years

Job Description

We are seeking a highly skilled Senior Mobile App Developer/Consultant with strong hands-on experience in building, deploying, and maintaining mobile applications for both Android and iOS, with React Native as the primary development framework.

The ideal candidate must be proficient with React Native, Android Studio, Xcode, and the end-to-end iOS App Store deployment process. This is an onsite, full-time role suitable for professionals who can take ownership and deliver high-quality product-based mobile applications. Experience in product companies or the banking/fintech domain is a strong advantage.

Primary Tech Stack (Mandatory)

React Native (Primary Framework)

Android Studio (Java/Kotlin)

Xcode (Swift/Objective-C)

RESTful APIs & Integration Patterns

App Store & Play Store Deployment Processes

Key Responsibilities

Design, develop, and maintain mobile applications using React Native for both Android and iOS.

Work with native modules when required using Swift/Objective-C and Java/Kotlin.

Build and release iOS apps to the Apple App Store, including managing certificates and provisioning profiles.

Debug, troubleshoot, and enhance mobile applications.

Optimize app performance, stability, and responsiveness.

Collaborate with product, backend, and QA teams for smooth development workflows.

Apply best practices in UI/UX, security, and mobile architecture.

Prepare documentation and provide technical guidance as needed.

Required Skills & Qualifications

3+ years of hands-on mobile development experience.

Mandatory: Strong proficiency in React Native.

Hands-on experience with Android Studio and Xcode.

Expertise in Swift, Objective-C, Kotlin, or Java.

Proven experience in building and publishing iOS apps to the App Store.

Strong understanding of RESTful API integrations.

Good knowledge of mobile UI/UX principles.

Strong debugging and problem-solving abilities.

Ability to work independently and deliver within timelines.

Nice to Have

Experience with Flutter or native-only app development.

Product-based company experience.

Exposure to Banking / FinTech systems.

Understanding of App Store Optimization (ASO).

Work Details

Location: Brookefield, Bangalore (Onsite)

Working Days: Monday to Saturday (Alternate Saturdays Off)

Timings: 9:00 AM – 6:00 PM

Job Description: Python Automation Engineer Location: Bangalore (Office-based) Experience: 1–2 Years Joining: Immediate to 30 Days Role Overview We are looking for a Python Automation Engineer who combines strong programming skills with hands-on automation expertise. This role involves developing automation scripts, designing automation frameworks, and contributing independently to automation solutions, with leads delegating tasks and solution directions. The ideal candidate is not a novice—they have solid real-world Python experience and are comfortable working across API automation, automation tooling, and CI/CD-driven environments. Key Responsibilities Design, develop, and maintain automation scripts and reusable automation frameworks using Python Build and enhance API automation for REST-based services and common backend frameworks Independently own automation tasks and deliver solutions with minimal supervision Collaborate with leads and engineering teams to understand automation requirements Maintain clean, modular, and scalable automation code Occasionally review automation code written by other team members Integrate automation suites with CI/CD pipelines Package and ship automation tools/frameworks using containerization Required Skills & Qualifications Python (Core Requirement) Strong, in-depth hands-on experience in Python, including: Object-Oriented Programming (OOP) and modular design Writing reusable libraries and frameworks Exception handling, logging, and debugging Asynchronous concepts, performance-aware coding Unit testing and test automation practices Code quality, readability, and maintainability API Automation Strong experience automating REST APIs Hands-on with common Python API libraries (e.g., requests, httpx, or equivalent) Understanding of API request/response handling, validations, and workflows Familiarity with different backend frameworks and fast APIs DevOps & Engineering Practices (Must-Have) Strong knowledge of Git Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab, or similar) Ability to integrate automation suites into pipelines Hands-on experience with Docker for shipping automation tools/frameworks Good-to-Have Skills UI automation using Selenium (Page Object Model, cross-browser testing, headless execution) Exposure to Playwright for UI automation Basic working knowledge of Java and/or JavaScript (reading, writing small scripts, debugging) Understanding of API authentication, retries, mocking, and related best practices Domain Exposure Experience or interest in SaaS platforms Exposure to AI / ML-based platforms is a plus What We’re Looking For A strong engineering mindset, not just tool usage Someone who can build automation systems, not only execute test cases Comfortable working independently while aligning with technical leads Passion for clean code, scalable automation, and continuous improvement SKILLA IN 1 WORKKD TO PUT IN KEYSKILL SECTION 

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Job Title: Project Manager (BFSI) – Full Time

Experience: 2+ Years

Location: Brookefield, Bangalore Urban, Karnataka

Engagement Type: Full Time (Monday to Saturday, 9 AM to 6 PM)

Description

The Project Manager (BFSI) – Full Time role is responsible for managing and delivering IT projects within the Banking, Financial Services, and Insurance (BFSI) sector. The role requires strong project governance, execution discipline, and a solid understanding of BFSI operational and regulatory frameworks. You will oversee end-to-end project delivery while coordinating stakeholders, ensuring compliance, and maintaining high-quality outcomes.

Responsibilities

Lead and execute BFSI-focused IT projects from initiation to closure.

Develop and manage the project scope, timelines, resource plans, and budgets.

Coordinate cross-functional teams and vendors to ensure successful project execution.

Maintain clear communication with stakeholders, providing updates on risks, issues, and milestones.

Conduct project reviews, stand-ups, and status meetings to drive alignment.

Prepare documentation such as project plans, risk registers, and compliance reports.

Ensure adherence to organizational standards and BFSI regulatory requirements.

Implement corrective actions proactively to maintain delivery quality and timelines.

Requirements

Minimum 3+ years of experience in IT project management, preferably within the BFSI domain.

Proven track record of delivering IT projects within defined schedules and budgets.

Good understanding of BFSI compliance, operational processes, and technology environments.

Proficiency in project methodologies and tools (Agile, Waterfall, JIRA, MS Project, etc.).

Strong interpersonal, communication, problem-solving, and stakeholder management skills.

Ability to work independently and manage multiple tasks in a fast-paced environment.

Project management certifications (PMP, Prince2, Agile) are advantageous.