Impacto Digifin Technologies

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.